Jenny Trinitapoli An Epidemic of Uncertainty: Navigating HIV and Young Adulthood in Malawi University of Chicago Press, 2023, 288 p., $30.00.

IF 4.6 2区 社会学 Q1 DEMOGRAPHY
Sanyu A. Mojola
{"title":"Jenny Trinitapoli An Epidemic of Uncertainty: Navigating HIV and Young Adulthood in Malawi University of Chicago Press, 2023, 288 p., $30.00.","authors":"Sanyu A. Mojola","doi":"10.1111/padr.12599","DOIUrl":null,"url":null,"abstract":"<p><i>An Epidemic of Uncertainty</i> is a multicourse gourmet meal for demographers. It is a book to settle into, chew on, and ruminate over with good friends. Empirically dense, theoretically rich, and analytically smart, the book moves the reader effortlessly between sophisticated quantitative analyses and everyday village and town life in and around Balaka, Malawi. And it brings demography, in all its interdisciplinary and conceptual splendor, to bear on the new subfield, Jenny Trinitapoli, the book's author, wants to usher in: Uncertainty Demography. The book examines how a generation of Malawian youth, who have lived their entire lives under the shadow of a severe HIV and AIDS epidemic, are transitioning to adulthood and navigating the stuff of life—beginning and ending relationships, having children, and for some, getting and living with HIV, and dying—from AIDS or giving birth or lightning strikes, among other causes of death.</p>\n<p>The book is based on an extraordinary and groundbreaking dataset, Tsologo La Thanzi (TLT: Healthy Futures in Chichewa), codesigned and led by Trinitapoli and her close collaborator Sara Yeatman. The impetus for the study was the observation that in Malawi, as in several other African countries, first sex, first marriage, and first birth unfold over a two-year period. Yet most major African surveys, most notably the Demographic and Health Surveys, collect cross-sectional data every five years, limiting analyses of the transition to adulthood. TLT (https://tsogololathanzi.uchicago.edu/, which is publicly available) is a longitudinal survey following respondents—young women and their male partners—over a 10-year period, from ages 15–25 to ages 25–35. The core survey included eight waves of data collected between 2009 and 2011, with each wave collected every four months. There was some attrition from the original sample—1505 respondents in 2009, to 1200 respondents in 2015 (80 percent of the original sample) to 1022 respondents in 2019 (68 percent) (p. 51). This led to a refresher sample collection in 2012 and 2019. Finally, there was follow-up data collection in 2015 and 2019. The survey, described in Chapter 2, is not just exceptional in its intensity but also in its creativity and methodological ambition. Data collection methods ranged from a standard survey questionnaire to biomarker data collection involving pregnancy and HIV testing, to card sorts, cognition tests, relationship scripts, literacy tests, vignettes, personal fieldnotes, first- and second-hand ethnographic observations, and a primary method for measuring uncertainty—bean counts. (Respondents could place up to 10 beans corresponding to their assessment of the probability of different event occurrences).</p>\n<p>At the heart of the book is the argument that individual uncertainty, and how people make sense of it, has consequences for their subsequent actions, and further that individual uncertainty aggregates and works as a powerful social force and a major driver of demographic change at a population level. The case of Balaka is instructive: the HIV epidemic unfolded in a context with a plethora of other major and more immediate life uncertainties around livelihood, food insecurity, and morbidity and mortality from other causes. Taking uncertainty as a starting point, Trinitapoli turns standard “don't know” responses to survey questions on their head, showing how <i>not knowing</i> can drive population-level outcomes. She demonstrates this through measuring uncertainty and then examining responses and outcomes in subsequent surveys. Perhaps the biggest claim in the book is that uncertainty can be a <i>more important driver</i> of social action than certainty. For Malawian youth, the book convincingly shows, it accelerates life course transitions—into marriage, divorce, and parenthood—powering a “relationship churning” that puts them at risk of HIV acquisition and transmission as they move through the marriage regime. The book is convincing in making the case that not understanding uncertainty about a phenomenon of interest—the “don't knows” or the “known unknowns”—can lead to misunderstanding the phenomenon of interest, and missing the consequential ways it is shaping individual and population-level dynamics.</p>\n<p>In the case of HIV uncertainty, described in Chapters 4 and 5, for example, Trinitapoli finds that nearly 40 percent of young people in the study are uncertain about their HIV status. Further, over the life of the study, she found not only that people move in and out of periods of uncertainty (as opposed to a permanent “worrier class,” p. 103), but that fully half the sample had experienced “acute uncertainty” (defined as —four to six beans, on a 1–10 scale), at different points in time, despite a 14 percent HIV prevalence in Balaka. In other words, the HIV uncertainty epidemic was bigger than the HIV epidemic. Trinitapoli found no effect of access to very frequent testing (every four months over more than two years for a sample of participants) on population-level uncertainty. Ironically, only testing positive led to HIV-related certainty. HIV uncertainty was also demographically consequential. Following the participants over time, she found it led to accelerated childbearing, and that increasing uncertainty was associated with significantly worse self-rated health, more sick days, and more depression. Indeed she concludes, HIV <i>uncertainty</i>, not just positivity, is “a clinically relevant condition”(p. 221).</p>\n<p>HIV uncertainty arose from relationship uncertainty, examined in Chapters 6 and 7. Balaka features universal marriage (95 percent of young women married at least once over the study period), and almost 40 percent were divorced and/or remarried one or more times (pp. 138–139). Each relationship transition carried increased HIV risk—from 2012 on, over 20 percent of divorced and remarried women were living with HIV, more than twice that of women in their first marriage (p. 141). Relationship churning was driven by a high level of mistrust, suspicion, and anxiety around their partner's fidelity. And this was amplified by the fear of HIV acquisition and widespread cell phone use—users were more suspicious of their partners than nonusers. In Chapter 8, Trinitapoli then considers the larger “mortality landscape,” placing HIV/AIDS into context. The chapter examines the interaction between large-scale mortality declines in infant and adult mortality, and everyday perceptions of death, the so-called “drumbeat of funerals” at the individual, family, and village level. Almost half (44 percent) of the TLT sample had lost a sibling by 2019, and throughout the study period, participants attended at least one funeral a month. In the 2019 survey round, 40 percent attended two or more funerals a month (p. 190). Thus, despite population-level mortality declines, in daily life, mortality remained a major source of uncertainty for young people.</p>\n<p>In this and other chapters, the book makes an important case for taking seriously “population chatter” or the significance of on the ground <i>perceptions</i> of demographic events; by weaving back and forth between accounts of everyday episodes and survey findings, it shows how consequential they are for young people's life course transition decisions and trajectories. Much of the population chatter in the book came from ethnographic observations written by “Gertrude.” We know that she is Malawian, an “extraordinary research assistant,” and that she has a good memory, but we are also told that “Gertrude's private life is not on display here” (p. 45). There is an ethical dimension here, which is well taken, but the reader is also left with several questions. What culture or social class did she come from? For example, I was surprised that she did not already know that she needed to carry a wrap just in case she had to cover herself for a funeral (p. 192)—was this practice unique to this ethnic group, was mortality lower where she came from? What did she find familiar or strange about Balaka? What did villagers think she was there to do? And how did she decide what to write about each day? Knowing this would help readers better understand the eyes through which they are viewing and coming to understand Balaka. More broadly, readers might wonder, how were the fieldnotes analyzed? What was the analytic process used to masterfully weave the various data components into the book? A methodological supplement engaging some of these questions would have further enriched this book's contribution.</p>\n<p>Readers interested in pursuing uncertainty demography will be helped by Chapter 3, which engages in a rich, though largely uncritical, literature review of previous demographic work on uncertainty and offers a working definition of the phenomenon and subfield. The chapter is less clear, however, on where the frontiers of this field are, how this project in particular is located within that literature, and what questions or gaps are left for future demographers to take up. This book will surely launch a thousand ships. I hope Trinitapoli plans a companion article as a guide for others.</p>\n<p>Finally, the policy implications of the book are immense. In Chapter 9, the book discusses ending problematic programs like conditional cash transfers to incentivize hospital births, better tests to eliminate the uncertainty period after HIV testing, doing more to end livelihood uncertainty, and “taming the mortality landscape” (p. 222) in order to reduce uncertainty in people's lives. However, if we take the book's arguments seriously—that relationship uncertainty underlies HIV uncertainty; that in fact there can be an “epidemic of uncertainty”; and that population-level changes, such as mortality reduction, do not necessarily filter down to population chatter or individual perceptions in a way that can translate to certainty—how then do we “treat” and create policy around uncertainty?</p>\n<p>Overall, <i>An Epidemic of Uncertainty</i> is a tour de force. Its originality, sophistication, creativity, and the groundbreaking nature of the survey on which it was based, make this book an outstanding achievement. 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引用次数: 0

Abstract

An Epidemic of Uncertainty is a multicourse gourmet meal for demographers. It is a book to settle into, chew on, and ruminate over with good friends. Empirically dense, theoretically rich, and analytically smart, the book moves the reader effortlessly between sophisticated quantitative analyses and everyday village and town life in and around Balaka, Malawi. And it brings demography, in all its interdisciplinary and conceptual splendor, to bear on the new subfield, Jenny Trinitapoli, the book's author, wants to usher in: Uncertainty Demography. The book examines how a generation of Malawian youth, who have lived their entire lives under the shadow of a severe HIV and AIDS epidemic, are transitioning to adulthood and navigating the stuff of life—beginning and ending relationships, having children, and for some, getting and living with HIV, and dying—from AIDS or giving birth or lightning strikes, among other causes of death.

The book is based on an extraordinary and groundbreaking dataset, Tsologo La Thanzi (TLT: Healthy Futures in Chichewa), codesigned and led by Trinitapoli and her close collaborator Sara Yeatman. The impetus for the study was the observation that in Malawi, as in several other African countries, first sex, first marriage, and first birth unfold over a two-year period. Yet most major African surveys, most notably the Demographic and Health Surveys, collect cross-sectional data every five years, limiting analyses of the transition to adulthood. TLT (https://tsogololathanzi.uchicago.edu/, which is publicly available) is a longitudinal survey following respondents—young women and their male partners—over a 10-year period, from ages 15–25 to ages 25–35. The core survey included eight waves of data collected between 2009 and 2011, with each wave collected every four months. There was some attrition from the original sample—1505 respondents in 2009, to 1200 respondents in 2015 (80 percent of the original sample) to 1022 respondents in 2019 (68 percent) (p. 51). This led to a refresher sample collection in 2012 and 2019. Finally, there was follow-up data collection in 2015 and 2019. The survey, described in Chapter 2, is not just exceptional in its intensity but also in its creativity and methodological ambition. Data collection methods ranged from a standard survey questionnaire to biomarker data collection involving pregnancy and HIV testing, to card sorts, cognition tests, relationship scripts, literacy tests, vignettes, personal fieldnotes, first- and second-hand ethnographic observations, and a primary method for measuring uncertainty—bean counts. (Respondents could place up to 10 beans corresponding to their assessment of the probability of different event occurrences).

At the heart of the book is the argument that individual uncertainty, and how people make sense of it, has consequences for their subsequent actions, and further that individual uncertainty aggregates and works as a powerful social force and a major driver of demographic change at a population level. The case of Balaka is instructive: the HIV epidemic unfolded in a context with a plethora of other major and more immediate life uncertainties around livelihood, food insecurity, and morbidity and mortality from other causes. Taking uncertainty as a starting point, Trinitapoli turns standard “don't know” responses to survey questions on their head, showing how not knowing can drive population-level outcomes. She demonstrates this through measuring uncertainty and then examining responses and outcomes in subsequent surveys. Perhaps the biggest claim in the book is that uncertainty can be a more important driver of social action than certainty. For Malawian youth, the book convincingly shows, it accelerates life course transitions—into marriage, divorce, and parenthood—powering a “relationship churning” that puts them at risk of HIV acquisition and transmission as they move through the marriage regime. The book is convincing in making the case that not understanding uncertainty about a phenomenon of interest—the “don't knows” or the “known unknowns”—can lead to misunderstanding the phenomenon of interest, and missing the consequential ways it is shaping individual and population-level dynamics.

In the case of HIV uncertainty, described in Chapters 4 and 5, for example, Trinitapoli finds that nearly 40 percent of young people in the study are uncertain about their HIV status. Further, over the life of the study, she found not only that people move in and out of periods of uncertainty (as opposed to a permanent “worrier class,” p. 103), but that fully half the sample had experienced “acute uncertainty” (defined as —four to six beans, on a 1–10 scale), at different points in time, despite a 14 percent HIV prevalence in Balaka. In other words, the HIV uncertainty epidemic was bigger than the HIV epidemic. Trinitapoli found no effect of access to very frequent testing (every four months over more than two years for a sample of participants) on population-level uncertainty. Ironically, only testing positive led to HIV-related certainty. HIV uncertainty was also demographically consequential. Following the participants over time, she found it led to accelerated childbearing, and that increasing uncertainty was associated with significantly worse self-rated health, more sick days, and more depression. Indeed she concludes, HIV uncertainty, not just positivity, is “a clinically relevant condition”(p. 221).

HIV uncertainty arose from relationship uncertainty, examined in Chapters 6 and 7. Balaka features universal marriage (95 percent of young women married at least once over the study period), and almost 40 percent were divorced and/or remarried one or more times (pp. 138–139). Each relationship transition carried increased HIV risk—from 2012 on, over 20 percent of divorced and remarried women were living with HIV, more than twice that of women in their first marriage (p. 141). Relationship churning was driven by a high level of mistrust, suspicion, and anxiety around their partner's fidelity. And this was amplified by the fear of HIV acquisition and widespread cell phone use—users were more suspicious of their partners than nonusers. In Chapter 8, Trinitapoli then considers the larger “mortality landscape,” placing HIV/AIDS into context. The chapter examines the interaction between large-scale mortality declines in infant and adult mortality, and everyday perceptions of death, the so-called “drumbeat of funerals” at the individual, family, and village level. Almost half (44 percent) of the TLT sample had lost a sibling by 2019, and throughout the study period, participants attended at least one funeral a month. In the 2019 survey round, 40 percent attended two or more funerals a month (p. 190). Thus, despite population-level mortality declines, in daily life, mortality remained a major source of uncertainty for young people.

In this and other chapters, the book makes an important case for taking seriously “population chatter” or the significance of on the ground perceptions of demographic events; by weaving back and forth between accounts of everyday episodes and survey findings, it shows how consequential they are for young people's life course transition decisions and trajectories. Much of the population chatter in the book came from ethnographic observations written by “Gertrude.” We know that she is Malawian, an “extraordinary research assistant,” and that she has a good memory, but we are also told that “Gertrude's private life is not on display here” (p. 45). There is an ethical dimension here, which is well taken, but the reader is also left with several questions. What culture or social class did she come from? For example, I was surprised that she did not already know that she needed to carry a wrap just in case she had to cover herself for a funeral (p. 192)—was this practice unique to this ethnic group, was mortality lower where she came from? What did she find familiar or strange about Balaka? What did villagers think she was there to do? And how did she decide what to write about each day? Knowing this would help readers better understand the eyes through which they are viewing and coming to understand Balaka. More broadly, readers might wonder, how were the fieldnotes analyzed? What was the analytic process used to masterfully weave the various data components into the book? A methodological supplement engaging some of these questions would have further enriched this book's contribution.

Readers interested in pursuing uncertainty demography will be helped by Chapter 3, which engages in a rich, though largely uncritical, literature review of previous demographic work on uncertainty and offers a working definition of the phenomenon and subfield. The chapter is less clear, however, on where the frontiers of this field are, how this project in particular is located within that literature, and what questions or gaps are left for future demographers to take up. This book will surely launch a thousand ships. I hope Trinitapoli plans a companion article as a guide for others.

Finally, the policy implications of the book are immense. In Chapter 9, the book discusses ending problematic programs like conditional cash transfers to incentivize hospital births, better tests to eliminate the uncertainty period after HIV testing, doing more to end livelihood uncertainty, and “taming the mortality landscape” (p. 222) in order to reduce uncertainty in people's lives. However, if we take the book's arguments seriously—that relationship uncertainty underlies HIV uncertainty; that in fact there can be an “epidemic of uncertainty”; and that population-level changes, such as mortality reduction, do not necessarily filter down to population chatter or individual perceptions in a way that can translate to certainty—how then do we “treat” and create policy around uncertainty?

Overall, An Epidemic of Uncertainty is a tour de force. Its originality, sophistication, creativity, and the groundbreaking nature of the survey on which it was based, make this book an outstanding achievement. I anticipate it becoming a classic on graduate student syllabi and taking up permanent residence on demographers’ bookshelves.

珍妮Trinitapoli不确定的流行病:导航艾滋病毒和马拉维的青年成年芝加哥大学出版社,2023年,288页,$30.00。
对人口统计学家来说,《不确定性的流行》是一顿多道菜的美食。这是一本值得和好朋友一起细细品味、细细咀嚼、反复思考的书。经验丰富,理论丰富,分析聪明,这本书让读者毫不费力地在复杂的定量分析和马拉维巴拉卡及其周围的日常乡村和城镇生活之间移动。这本书的作者珍妮·特里尼塔波利(Jenny Trinitapoli)想要引入一个新的子领域:不确定性人口学(Uncertainty demography),它将人口学带入了跨学科和概念上的辉煌。这本书探讨了马拉维的一代青年,他们一生都生活在严重的艾滋病毒和艾滋病的阴影下,如何过渡到成年,如何在生活中找到方向——开始和结束关系,生孩子,对一些人来说,感染艾滋病毒,生活在艾滋病毒中,死于艾滋病、分娩或雷击,以及其他死亡原因。这本书是基于一个非凡的、开创性的数据集,Tsologo La Thanzi (TLT: Chichewa的健康未来),由Trinitapoli和她的亲密合作者Sara Yeatman共同设计和领导。这项研究的动机是观察到在马拉维,和其他几个非洲国家一样,第一次性行为、第一次婚姻和第一次生育在两年的时间内展开。然而,大多数主要的非洲调查,尤其是人口和健康调查,每五年收集一次横断面数据,限制了对向成年过渡的分析。TLT (https://tsogololathanzi.uchicago.edu/,可公开获取)是一项纵向调查,调查对象为15-25岁至25-35岁的年轻女性及其男性伴侣。核心调查包括2009年至2011年间收集的八波数据,每波数据每四个月收集一次。原始样本有所减少——2009年有1505名受访者,2015年有1200名受访者(占原始样本的80%),2019年有1022名受访者(占原始样本的68%)(第51页)。这导致了2012年和2019年的更新样本收集。最后,在2015年和2019年进行了后续数据收集。在第2章中描述的调查不仅在其强度上,而且在其创造性和方法论上的野心上都是例外的。数据收集方法包括从标准调查问卷到涉及怀孕和艾滋病毒检测的生物标志物数据收集,再到卡片分类、认知测试、关系脚本、识字测试、小短文、个人实地记录、第一手和二手人种学观察,以及测量不确定性的主要方法——豆子计数。(受访者可以根据他们对不同事件发生概率的评估,最多放置10颗豆子)。本书的核心论点是,个人的不确定性,以及人们如何理解这种不确定性,会对他们随后的行为产生影响,进一步说,个人的不确定性聚集在一起,成为一股强大的社会力量,是人口水平上人口变化的主要驱动力。巴拉卡的案例很有启发性:艾滋病毒流行的背景是,在生计、粮食不安全以及其他原因造成的发病率和死亡率方面,存在着大量其他重大和更直接的生活不确定性。Trinitapoli以不确定性为出发点,对调查问题的标准回答“不知道”,表明不知道如何影响人口水平的结果。她通过测量不确定性,然后在随后的调查中检查反应和结果来证明这一点。也许书中最大的主张是,不确定性比确定性更能推动社会行动。这本书令人信服地表明,对于马拉维的年轻人来说,它加速了人生历程的转变——结婚、离婚、成为父母——推动了一种“关系搅动”,使他们在经历婚姻制度的过程中面临感染和传播艾滋病毒的风险。这本书令人信服地指出,不理解兴趣现象的不确定性——“不知道”或“已知的未知”——可能导致对兴趣现象的误解,并错过了它塑造个人和群体动态的重要方式。例如,在第四章和第五章中描述的艾滋病毒不确定的情况下,Trinitapoli发现研究中近40%的年轻人不确定他们的艾滋病毒状况。此外,在整个研究过程中,她发现人们不仅在不确定的时期(与永久的“忧虑阶层”相反,第103页)进出,而且有一半的样本在不同的时间点经历了“严重的不确定”(定义为- 4到6个豆子,在1-10的范围内),尽管巴拉卡的艾滋病毒感染率为14%。换句话说,HIV不确定性流行病比HIV流行病更大。 Trinitapoli发现,非常频繁的测试(对参与者样本来说,在两年多的时间里每四个月一次)对人口水平的不确定性没有影响。具有讽刺意味的是,只有检测呈阳性才会导致hiv相关的确定性。艾滋病毒的不确定性在人口统计学上也很重要。随着时间的推移,她发现这导致了生育的加速,而不确定性的增加与更糟糕的自我评估健康、更多的病假和更多的抑郁有关。事实上,她的结论是,HIV的不确定性,不仅仅是阳性,是“一种临床相关的情况”。221)。HIV的不确定性源于关系的不确定性,在第6章和第7章中进行了检验。巴拉卡的特点是普遍婚姻(95%的年轻女性在研究期间至少结过一次婚),几乎40%的人离婚和/或再婚一次或多次(第138-139页)。从2012年开始,每段关系的转变都增加了感染艾滋病毒的风险,超过20%的离婚和再婚女性携带艾滋病毒,是第一次婚姻中女性的两倍多(第141页)。关系的动荡是由对伴侣忠诚的高度不信任、怀疑和焦虑所驱动的。对感染艾滋病毒的恐惧和手机的广泛使用放大了这一点——使用手机的人比不使用手机的人更怀疑他们的伴侣。在第8章中,Trinitapoli接着考虑了更大的“死亡率景观”,将艾滋病毒/艾滋病置于背景中。本章考察了婴儿和成人死亡率的大规模下降与日常死亡观念之间的相互作用,即个人、家庭和村庄层面上所谓的“丧礼鼓声”。到2019年,近一半(44%)的TLT样本失去了一个兄弟姐妹,在整个研究期间,参与者每月至少参加一次葬礼。在2019年的调查中,40%的人每月参加两次或两次以上的葬礼(第190页)。因此,尽管人口死亡率下降,但在日常生活中,死亡率仍然是年轻人不确定的主要来源。在本章和其他章节中,这本书提出了一个重要的案例,即认真对待“人口喋喋不休”或对人口事件的实地看法的重要性;通过在日常事件和调查结果之间来回穿梭,它显示了它们对年轻人的生命历程过渡决定和轨迹有多么重要。书中关于人口的讨论大多来自“格特鲁德”所写的人种学观察。我们知道她是马拉维人,是一位“杰出的研究助理”,而且她的记忆力很好,但我们也被告知,“格特鲁德的私人生活并没有在这里展出”(第45页)。这里有一个道德层面,这是很好的,但读者也留下了几个问题。她来自什么文化或社会阶层?例如,我很惊讶的是,她竟然不知道她需要带一条围巾,以防她在葬礼上不得不把自己裹起来(第192页)——这种做法是这个民族独有的吗?她来自的地方死亡率更低吗?她觉得巴拉卡有什么熟悉或陌生的地方?村民们认为她在那里做什么?她又是如何决定每天写些什么呢?知道这一点将有助于读者更好地理解他们正在观察的眼睛,并逐渐理解巴拉卡。更广泛地说,读者可能想知道,实地记录是如何分析的?将各种数据组件巧妙地编织到书中的分析过程是什么?对这些问题的方法论补充将进一步丰富本书的贡献。对追求不确定性人口学感兴趣的读者将得到第3章的帮助,第3章对以前关于不确定性的人口统计工作进行了丰富的,尽管在很大程度上不加批判的文献回顾,并提供了现象和子领域的工作定义。然而,这一章不太清楚这一领域的前沿在哪里,特别是这个项目是如何在这些文献中定位的,以及留给未来人口统计学家的问题或空白。这本书一定会引起千家万户的兴趣。我希望Trinitapoli计划出一篇配套文章,作为其他人的指南。最后,这本书的政策含义是巨大的。在第9章中,该书讨论了结束有问题的项目,如有条件的现金转移以激励住院分娩,更好的检测以消除艾滋病毒检测后的不确定期,采取更多措施消除生计的不确定性,以及“控制死亡率”(第222页),以减少人们生活中的不确定性。 然而,如果我们认真对待这本书的观点——这种关系的不确定性是艾滋病毒不确定性的基础;事实上,可能会出现“不确定性流行病”;而且人口水平的变化,比如死亡率的降低,并不一定会渗透到人口的变化或个人的感知中,从而转化为确定性——那么我们如何“对待”和制定围绕不确定性的政策呢?总的来说,《不确定性的流行》是一部杰作。它的原创性、复杂性、创造性,以及它所依据的调查的开创性,使这本书成为一项杰出的成就。我预计它将成为研究生教学大纲上的经典,并永久出现在人口统计学家的书架上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
4.00%
发文量
60
期刊介绍: Population and Development Review is essential reading to keep abreast of population studies, research on the interrelationships between population and socioeconomic change, and related thinking on public policy. Its interests span both developed and developing countries, theoretical advances as well as empirical analyses and case studies, a broad range of disciplinary approaches, and concern with historical as well as present-day problems.
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