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Emancipating the woman: how gender-mix in entrepreneurial teams leads to women’s emancipation

2016· article· en· W2766059426 on OpenAlex

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

VenueAcademy of Management Proceedings · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Economic Solidarity
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEmancipationSolidarityPerspective (graphical)Citizen journalismSociologyEgalitarianismPragmatismFeminismEmpowermentSample (material)Gender studiesRepresentation (politics)Positive economicsPolitical scienceEconomic growthEconomicsEpistemologyLaw

Abstract

fetched live from OpenAlex

In this paper we ask, how gender-mix in entrepreneurial teams leads to women’s emancipation, and under what circumstances. Drawing from the pragmatist feminist perspective, we hypothesize a positive relationship between favorable representation of women in mixed gender teams, and women’s socio-cultural emancipation. We also delimit high enterprise income, and formal participatory mechanisms as two boundary conditions. Specifically, we hypothesize that high income (comparative to average regional enterprise income) and formal participatory mechanisms will enhance the formerly hypothesized main relationship. We deploy a unique sample comprising of over 5000 solidarity economy enterprises (SEEs) in the Brazilian solidarity economy movement to test our hypotheses. Analytic techniques, and paper’s contributions are also discussed.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.036
GPT teacher head0.298
Teacher spread0.262 · 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