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Record W2756440982 · doi:10.11634/216826311706800

The Paradoxes and Potentials for Women’s Empowerment in Latin American Agricultural Co-operatives: The Case of Honduras

2017· article· en· W2756440982 on OpenAlexaff
Sasha Hanson Pastran

Bibliographic record

VenueAmerican Journal of Business and Management · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCooperative Studies and Economics
Canadian institutionsCarleton University
Fundersnot available
KeywordsEmpowermentLatin AmericansAgriculturePolitical scienceIdeologyEconomic growthInternational developmentSociologyGender studiesEconomicsGeographyLawPolitics

Abstract

fetched live from OpenAlex

The purpose of the research is to identify innovative strategies and practices that enable women to have equal opportunity to participate actively in the life of the co-operative. The research focuses on the case of the Honduran co-operative movement and is informed by primary interviews with women from regional and international co-operative associations and agricultural development organizations in Central America. Analysis employs a gender and development (GAD) theoretical framework combined with a socialist feminist analysis to interrogate the paradoxes and potentials for the co-operative development model to empower women. Overall, the paper argues that realizing the potential for co-operatives to empower women in Latin America depends upon the cultivation of enabling ideologies and institutions that challenge machista cultural norms and address legal barriers and other structural obstacles to women’s full participation in co-operative development.

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)0.006
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.028
Scholarly communication0.0080.004
Open science0.0010.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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