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Gender-transformative action, social norms and economic empowerment

2024· article· en· W4391924219 on OpenAlex
Tara Patricia Cookson, Ruth Carlitz, Alex Berryhill, Lorena Fuentes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Politics and Gender · 2024
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTransformative learningEmpowermentAction (physics)SociologyPolitical scienceSocial psychologyGender studiesPsychologyPedagogyLaw

Abstract

fetched live from OpenAlex

Feminist advocacy for ‘gender transformative’ approaches to development, public policy and humanitarian action that account for social norms has surged in recent years. This article intervenes in the debate around norms and implications for transformative approaches. We draw on a unique set of quantitative, global ‘gender data’ collected in 2020 and 2021 and examine how social norms inform women’s experiences of economic empowerment, as well as how these relationships map onto the current debates around interventions to address social norms and the form these interventions ought to take. Our data show that social norms matter for access to and control over resources; in addition, they illustrate that an individual belief in gender equality is fairly common around the world but that such individual beliefs frequently do not coincide with what people think their neighbours believe. These findings suggest a need for consideration of factors beyond individual attitudes towards and beliefs in gender-transformative interventions for women’s economic empowerment.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.265
Teacher spread0.227 · 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