MétaCan
Menu
Back to cohort
Record W7097729794

This work was supported by the Bank of Sweden Jubileums Fund [grant P2007-0468:1-E]. I would like

2012· article· en· W7097729794 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsPillQuarter (Canadian coin)FertilitySanctionsWork (physics)Financial inclusionMarriage marketPopulation
DOInot available

Abstract

fetched live from OpenAlex

Historical di¤erences in out-of-wedlock childbearing predict a quarter of the demand for oral contraception (the Pill) in Sweden. The positive relationship is robust to the inclusion of extensive economic and demographic controls, marriage market characteris-tics, and religion measures. Accounting for unobserved community characteristics yield similar results. Premarital sex is modeled, with social sanctions and marriage customs playing a prominent role, to illustrate how culture inuences nonmarital fertility and contraceptive adoption. The strong inuence of historical factors on take-up of the Pill is used to identify the causal e¤ect of the Pill on teenage childbearing. The sharp decline in teenage childbearing following the Pills introduction is consistent with the model and our empirical results.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.806
Threshold uncertainty score0.649

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1940.054

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 head0.077
GPT teacher head0.319
Teacher spread0.242 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicDemographic Trends and Gender PreferencesFrench-language works237,207