MétaCan
Menu
Back to cohort
Record W2099179878 · doi:10.1177/0020715208097789

How Development Matters

2008· article· en· W2099179878 on OpenAlex
Jocelyn Viterna, Kathleen M. Fallon, Jason Beckfield

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsMcGill University
Fundersnot available
KeywordsRepresentation (politics)DemocracySocioeconomic statusLegislatureDeveloping countryPoliticsContrast (vision)Political scienceVariation (astronomy)Socioeconomic developmentDevelopment economicsPolitical economyEconomic growthSociologyEconomicsLawDemographyComputer science

Abstract

fetched live from OpenAlex

Most studies find that the substantial cross-national variation in women's legislative representation is not explained by cross-national differences in socioeconomic development. By contrast, this note demonstrates that economic development does matter. Rather than looking for across-the-board general effects, we follow Matland (1998), and analyze developed and developing nations separately. We find that accepted explanations fit rich nations better than poor nations, and obscure the effects of democracy on women's representation in the developing world. We call for new theoretical models that better explain women's political representation within developing nations, and we suggest that democracy should be central to future models.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score0.174

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 head0.134
GPT teacher head0.413
Teacher spread0.280 · 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