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Record W4234093461 · doi:10.1257/jel.49.3.719.r19

Book Reviews

2011· article· en· W4234093461 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Economic Literature · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsChinaEconLitFertilityChinese familySociologyGender studiesGeographyPolitical scienceEconomic growthSocial scienceDemographyPopulationEconomics

Abstract

fetched live from OpenAlex

Aloysius Siow of University of Toronto reviews “Understanding Chinese Families: A Comparative Study of Taiwan and Southeast China” by C. Y. Cyrus Chu and Ruoh-Rong Yu. The EconLit Abstract of the reviewed work begins “Analyzes the contemporary Chinese family in Taiwan and Southeast China using a study of longitudinal data. Discusses an introduction to Chinese families; social backgrounds of China and Taiwan; coresidence and family size; family fertility; marriage patterns; housework and household decisions; revealed son preferences; the role of the family in child education; intergenerational mobility; family reciprocal supports; parental transfers and child feedbacks; and changing gender preferences in Taiwan. Chu is with the Faculty of Economics at the National Taiwan University and Distinguished Research Fellow of the Institute of Economics at Academia Sinica. Yu is Associate Fellow with the Centre for Survey Research at Academia Sinica. Index.”

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.679
Threshold uncertainty score0.969

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3210.267

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 head0.307
Teacher spread0.241 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Citations1
Published2011
Admission routes1
Has abstractyes

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