Bibliographic record
Abstract
제1장 2020 인구포럼 개요 1 제1절 2020 인구포럼 개요 3 제2절 제1차 인구포럼 개요 4 제3절 제2차 인구포럼 개요 6 제4절 제3차 인구포럼 개요 8 제2장 제1차 인구포럼: 젠더관점에서 저출산 대응을 위한 사회구조 분석 11 제1절 여성의 고용 안정성과 출산율 13 제2절 저출산기본계획에 대한 젠더 분석-저출산 담론의 재구성을 위하여 26 제3절 종합 토론 49 제3장 제2차 인구포럼: 세대 공감 53 제1절 기조강연 55 제2절 소득·일자리에서의 세대 갈등과 대안 66 제3절 사회문화에서의 세대 갈등과 대안 84 제4절 종합 토론 105 제4장 제3차 인구포럼: 감염병 확산에 따른 국내외 노인 돌봄 환경 변화와 대응방안 121 제1절 Policy responses to COVID-19 in long-term care for senior in Canada 123 제2절 Underfunded and unprepared: Older people’s services in England in the COVID-19 pandemic 134 제3절 COVID-19 확산에 따른 노인 돌봄 환경 변화와 대응 현황 139 제4절 종합 토론 161 부록 177 〔부록 1〕 세대 연대를 위한 정책 아이디어 공모전 177
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.093 | 0.041 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".