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Record W7135449185

CAOT Position Statement: Aging in Place

2019· book· en· W7135449185 on OpenAlexaboutno aff
Julie M. Brose

Bibliographic record

VenueBristol Research (University of Bristol) · 2019
Typebook
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsPosition (finance)Aging in placeDiversity (politics)Position paperPosition statementOccupational therapyHealth care
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Association of Occupational Therapists recognizes the impact of a person’s environment - the physical, social, and attitudinal environments in which people live and conduct their lives (WHO 2001:8,10) on participation in valued activities, and that occupational therapists have a distinct role in seniors’ care and facilitating aging in place in a setting of their choice. CAOT acknowledges the diversity amongst seniors and considers the full spectrum of client needs and capabilities, thus negating a “one size fits all” approach to aging in place. A client-centred approach is taken whereby clients are understood as individuals as well as being part of families, organizations, community groups and other groups, and as such recognizes the importance of both the home and community aspects of aging in place. Occupational justice underpins this position statement, where all people have the opportunities, resources, and rights to engage in meaningful occupations to meet both intrinsic needs and societal expectations (Townsend & Wilcox, 2004; Wilcox & Townsend, 2000).The World Health Organization’s Age-Friendly Communities model is used to guide this holistic approach to aging in place and this Position Statement provides guidance for occupational therapists looking to expand their practice in the areas identified in the framework.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.219
Threshold uncertainty score0.436

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0110.008
Insufficient payload (model declined to judge)0.0480.031

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 head0.170
GPT teacher head0.487
Teacher spread0.317 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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