Research and Study on Living Conditions of Empty Nest Elderly in Rural Areas of Gansu
Bibliographic record
Abstract
Through a questionnaire survey, house surveys, case interviews, etc., Gansu Province on the empty nest elderly in rural areas to survive conditions of systematic survey, in-depth analysis of the impact of rural endowment insurance system for internal and external factors and put forward countermeasures and suggestions related. Kew Words: Rural areas; Empty nest elderly; Living conditions; Investigate Résumé: Par le biais des enquêtes en questionnaire, au foyer et en interviews etc, on a effectué une investigation sur les personnes âgées qui vivent dans le nid vide dans la province de Gansu, notamment celles dans les zones rurales qui survivent à des conditions d'enquête systématiques. L’article fait une analyse approfondie sur l'impact du système d'assurances-vie temporaires, sur les facteurs internes et externes et met en avant les contre-mesures et des suggestions appropriés. Mots-clés: zones rurales; les personnes âgées qui vivent dans le nid vide; conditions de vie, investigations 摘 è¦ï¼šç‚ºå…¨é¢ç³»çµ±çžè§£ç”˜è‚…çœè¾²æ‘空巢è€å¹´äººç”Ÿå˜çš„基本狀æ³ï¼ŒæŽ¨é€²ç”˜è‚…çœè€é½¡äº‹æ¥çš„å¥åº·ç™¼å±•,進一æ¥å®Œå–„ è¾²æ‘è€å¹´äººçš„養è€ä¿éšœé«”系,課題組通éŽå•å·èª¿æŸ¥ã€å…¥æˆ¶èª¿æŸ¥ã€å€‹æ¡ˆè¨ªè«‡ç‰æ–¹å¼ï¼Œå°ç”˜è‚…çœè¾²æ‘空巢è€å¹´äººç”Ÿå˜ ç‹€æ³é€²è¡Œäº†çš„系統調查,深入分æžå½±éŸ¿è¾²æ‘養è€ä¿éšªåˆ¶åº¦çš„å…§å¤–å› ç´ ï¼Œä¸¦æå‡ºç›¸é—œå°ç–建è°ã€‚ é—œéµå—:農æ‘;空巢è€å¹´äººï¼›ç”Ÿå˜ç‹€æ³ï¼›èª¿æŸ¥
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".