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Record W7145825231

「ココから教室」により,生活満足度と生きがい感が高まり,社会参加が促進された一事例―地域在住高齢者の活動と参加に焦点を当てた記録と対話―

2023· article· ja· W7145825231 on OpenAlexaboutno aff
Chiaki Sakamoto, Masayuki Takagi, Kota HASHIMOTO, Maho JYURAKU, Katsuma Ikeuchi

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2023
Typearticle
Languageja
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingLife satisfactionMeaning (existential)Scale (ratio)Activities of daily livingClass (philosophy)Aging in place
DOInot available

Abstract

fetched live from OpenAlex

We conducted a unique class aimed at preventing the need for long-term care (Koko-kara classroom) for older aduls living in the community. The "Koko-kara classroom'" is characterized by the use of occupational records and dialogue to identify target occupation and to reflect on their meaning and approach as well as help the participants themselves become aware of how to engage with the occupation. Participating case A (female, late 80s) had many changes. On the Canadian Occupational Performance Measure, her performance score increased from 2.3 to 6.6 and her satisfaction score increased from 2.0 to 6.3. Her score on the Scale for the Feeling That Life is Worth Living went from 6 to 20 and the satisfaction scale for spending time on social activities increased from 35 to 41. Life satisfaction improved from 5 to 8. In addition, case A started to attend ink painting classes again. The "Koko-kara classroom," which focuses on activities and participation, appears to increase the connection to work, life satisfaction, and a sense of purpose in life among the older adults in the community. It is also expected to promote social participation, suggesting that it may preventing the need for long-term care.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.002

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 head0.121
GPT teacher head0.457
Teacher spread0.335 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2023
Admission routes1
Has abstractyes

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