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Record W4390949436 · doi:10.1051/shsconf/202418103007

The Evolution of China’s Policy for Family Planning

2024· article· en· W4390949436 on OpenAlex
Zijun Zhu

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.

Bibliographic record

VenueSHS Web of Conferences · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsChinaFamily planningSustainabilityFamily planning policyGovernment (linguistics)Economic growthSocial policyChinese familySustainable developmentControl (management)Political scienceBusinessSociologyEconomicsManagement

Abstract

fetched live from OpenAlex

It is imperative to understand factors of demographic and social issues, economic development, and global influences which have influenced China’s family planning policy implementation through time from the one-child to three-child policy. To further explore how such factors influenced the evolution of China’s family planning policy and to predict future policy outcomes, this research has extensively discussed demographic challenges, economic development, social issues, and global influences. The research has also analyzed how these factors influence China’s family planning policy direction towards the future. For sustainability, in relation to family planning, this research has identified that the Chinese government could implement targeted and flexible approaches to childbirth control, implement social support and services to help couples meet their family goals, and enhance social awareness via education and family therapy. In sum, this research is important because it provides an elaborate discussion of the evolution of China’s family planning policy and predicts the future direction of such policing to ensure sustainable family planning in China.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.048
GPT teacher head0.352
Teacher spread0.304 · 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