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Record W4311623591 · doi:10.1080/02255189.2022.2145273

Speeding up for a son in Turkey

2022· article· fr· W4311623591 on OpenAlexaffvenue
Marie‐Claire Robitaille, Yigit Aydede

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsFertilityPreferenceGeographyDemographic economicsSurvey data collectionSocioeconomicsDemographyPolitical scienceEconomic growthSociologyEconomicsPopulation

Abstract

fetched live from OpenAlex

Son preference is known to influence fertility decisions, but very little is known about the prevalence of son preference in Turkey and its consequences for fertility behaviours. We use data from five waves of the Demographic and Health Survey and the Survey on Income and Living Conditions to show that son preference results in differential stopping behaviours and shorter birth spacing. Despite many public reforms promoting gender equality in Turkey, women and children are put at risk in the quest for a son. This result holds in all regions, in both urban and rural areas, and across the socio-economic spectrum.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.143
GPT teacher head0.300
Teacher spread0.158 · 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.

Study designNot applicable
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

Citations2
Published2022
Admission routes2
Has abstractyes

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