高齢者の健康増進教室のプログラム開発と人的資源としての学生の活用について(ヘルスプロモーション(健康づくり)に挑む,広島保健福祉学会第7回学術大会プログラム・抄録集)
Bibliographic record
Abstract
我々は,広島県三原市内の町内会と連携し高齢者の健康づくりを目的とした作業療法プログラムを行ってきたので効果と本学の連携について報告する。プログラムの参加者は30名(73.2±6.3歳,男性18名,女性12名),介入期間は平成17年7月28日～12月8日,頻度は2週間に1回,全11回実施した。効果判定には,作業遂行能力を評価するカナダ作業遂行測定(COPM ; Canadian Occupational Performance Measure)と主観的健康観を測定するSF-36を用いた。プログラム終了後に,COPMの遂行度が有意に高く(t=-2.21,p=0.03),SF-36では社会生活機能が有意に高くなっていた(t=-0.61,p=0.02)。今回の作業療法プログラムのノウハウを活かし,地域に還元するため,本年度は三原キャンパス地域連携センターの事業として,学生のボランティアを募り,三原地域連携推進協議会,三原市社会福祉協議会との連携のもとで地域の「いきいきサロン」を支援している。学生という循環型の資源を生かして,地域と本学との交流が学生により行われ,まち作りの役割を担っていくシステム作りをすすめている。
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".