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Record W4294591667 · doi:10.1017/s0022216x22000517

Participatory Democracy, Democratic Education, and Women

2022· article· en· W4294591667 on OpenAlexaff
Pascal Lupien

Bibliographic record

VenueJournal of Latin American Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsBrock University
Fundersnot available
KeywordsCitizen journalismDemocracyPoliticsLatin AmericansInequalitySociologyPower (physics)Function (biology)Political scienceWork (physics)Public administrationGender studiesLaw

Abstract

fetched live from OpenAlex

Abstract Participatory democrats argue that citizen engagement at the local level serves an important educational function. Through involvement in participatory mechanisms, citizens develop various skills, become better informed, and cultivate a greater sense of political efficacy. There has been considerable debate in the academic literature over the extent to which participation can produce these benefits, but deliberative and participatory theoretical approaches have been criticised for neglecting power dynamics within participatory mechanisms themselves, and for overlooking structural inequalities between women and men. Numerous critics have charged that participatory mechanisms tend to mask, but not eliminate, gender inequalities, particularly in societies where these remain firmly entrenched. While the theory on the educational function of participatory democracy is well developed, there remains a lack of empirical work on the impact of participation on women in Latin America, a region that has been at the forefront of democratic innovation. Based on extensive fieldwork in Venezuela, Ecuador and Chile, this article identifies the types of skills that women gain through participation, and questions the extent to which these reproduce traditional gender roles.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.321
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.065
GPT teacher head0.396
Teacher spread0.331 · 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 teacher head, 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

Citations7
Published2022
Admission routes1
Has abstractyes

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