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Record W216042340

저출산 대응 공공서비스 관점에서 본 「토론토 출산지원센터」 현지조사연구

2015· article· ko· W216042340 on OpenAlexaboutno aff
이연숙, 박지영, Hyeon Jeong Kim

Bibliographic record

Venue한국주거학회논문집 · 2015
Typearticle
Languageko
FieldEnvironmental Science
TopicKorean Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBirth rateCoping (psychology)PsychologyPolitical scienceSociologyDemographyResearch methodologyPopulationClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

Korea has shown the lowest birth rate among OECD countries for over 10 years. This caused various social tensions and problems including negative impacts on national economy. To deal with these problems and to cope with future risk, diverse strategies must be actively explored. The purpose of this research is to delineate the characteristics of Toronto Birth Centre in Canada which was established currently to support families. Field visit study was the major methodology which includes interview with a staff and walk-through guided observation accompanied by visual recording. As a result, the specific functions and the logic of utilizing the center along with its spatial characteristics were delineated. The result has significant implication in developing coping strategies to release the social tension. The birth center can be an efficient strategy to include as a public strategy to Korean Society who has suffered from long lasting lowest birth rate.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.020

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 head0.040
GPT teacher head0.242
Teacher spread0.201 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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