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Record W2793028899 · doi:10.1525/luminos.49

Unjust Conditions: Women’s Work and the Hidden Cost of Cash Transfer Programs

2018· book· en· W2793028899 on OpenAlexfundaboutno aff
Tara Patricia Cookson

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
FundersGates Cambridge TrustSocial Sciences and Humanities Research Council of CanadaUniversity of British ColumbiaCambridge TrustUniversity of Cambridge
KeywordsCashWork (physics)Transfer (computing)BusinessFinanceComputer scienceEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Unjust Conditions follows the lives and labors of poor mothers in rural Peru, richly documenting the ordeals they face to participate in mainstream poverty alleviation programs. Championed by behavioral economists and the World Bank, conditional cash transfer (CCT) programs are praised as efficient mechanisms for changing poor people’s behavior. While rooted in good intentions and dripping with the rhetoric of social inclusion, CCT programs’ successes ring hollow, based solely on metrics for children’s attendance at school and health appointments. Looking beyond these statistics reveals a host of hidden costs for the mothers who meet the conditions. With a poignant voice and keen focus on ethnographic research, Tara Patricia Cookson turns the reader’s gaze to women’s care work in landscapes of grossly inadequate state investment, cleverly drawing out the tensions between social inclusion and conditionality. "This is an outstanding book—a stunning indictment of expert schemes that overlook lived realities in order to conjure the appearance of success. Lucid, incisive, and compelling—bravo!" TANIA LI, Professor of Anthropology, University of Toronto "Cookson´s Unjust Conditions stands out as a genuine, major contribution addressing important blind spots frequently neglected in this debate. A must-read for scholars, activists and policymakers committed to combating poverty." LENA LAVINAS, Professor of Welfare Economics, Federal University of Rio de Janeiro "If there was a need for demonstrating the value of ‘slow research’ for clear policy thinking and informed practice, Cookson provides a powerful and compelling proof."SHAHRA RAZAVI, Chief of Research and Data, UN Women "Unjust Conditions is a book written for exactly these times, as we collectively demand an end to violence against women in all its forms. Cookson takes us on a journey to find out the truth about conditional aid, introducing us to women who debunk gendered myths underpinning CCTs." JANE BARRY, activist and author of Rising up in Response: Women's Rights Activism in Conflict "Cookson’s research gives voice to women living with unjust 'shadow conditions' imposed by CCTs. This book poses compelling questions about identity, power, wealth and justice and challenges us to take the time to listen and identify possibilities for meaningful change." MARTHA CHOE, former Chief Administrative Officer, Bill & Melinda Gates Foundation “In this much-needed ethnography, Cookson shows the importance of looking beyond the statistics of short-term poverty reduction to shed light on the hidden, unintended effects on people’s lives and how these undermine long-term social change.” JELKE BOESTEN, author of Sexual Violence in War and Peace: Gender and Post-conflict Justice in Peru “Cookson’s book brings us to the heart of the workings of contemporary social assistance. This major contribution reveals how inequality is reproduced through the web of social relations these programs create.” STÉPHANIE ROUSSEAU, Professor, Department of Social Sciences, Pontificia Universidad Católica del Perú "Through the tripartite lens of care, power, and geography, Unjust Conditions reveals how CCTs consolidate a post-welfare world in which a redistributive politics of unconditional cash transfers is silenced as a viable alternative in global development debates." VICTORIA LAWSON, Professor of Geography, University of Washington "Delving below rosy outcome data, Cookson convincingly demonstrates how the globally popular CCT relies upon, rather than challenges, deep-seated relations of power" ELISABETH JAY FRIEDMAN, Professor of Politics and Latin American Studies, University of San Francisco "Cookson’s book is a most welcome contribution to our understanding of CCTs, casting important light on how they work on the ground and what onerous demands they can place on beneficiaries and poorly paid social workers. This book has important lessons for policymakers and scholars alike." MAXINE MOLYNEUX, author of The Social and Political Potential of Cash Transfers "CCTs have been evaluated by sophisticated statistical methods that ignore moral issues. This book adds to the critique of conditionality and overhyped evaluative methods. It also adds to the demand that the concept of work be radically changed so that care work is given its proper recognition." GUY STANDING, author of The Precariat: The New Dangerous Class TARA PATRICIA COOKSON is a SSHRC Research Fellow at the University of British Columbia and the founder of Ladysmith, a women’s equality venture. Her research on gender, international development, and social justice has been published in a variety of public and policy outlets as well as in academic journals such as Antipode.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.029
Scholarly communication0.0110.010
Open science0.0010.007
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0140.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.273
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations63
Published2018
Admission routes2
Has abstractyes

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