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Implementing a Modified Cognitive Orientation to Daily Occupational Performance Approach for Use in a Group Format

2014· article· en· W2314257877 on OpenAlexaff
Rose Martini, Angela Mandich, Dido Green

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2014
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsWestern UniversityUniversity of Ottawa
Fundersnot available
KeywordsOrientation (vector space)CognitionIntervention (counseling)Occupational therapyClubPsychologyCognitive InterventionApplied psychologyDevelopmental psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Cognitive orientation to daily occupational performance is an intervention approach that is often used with children with developmental coordination disorder, and is usually implemented using an individual intervention format. This practice analysis describes two experiences of the cognitive orientation to daily occupational performance approach, modified for use in a group format: an intensive day-camp, and a weekly after-school club. The group format provided children with various opportunities (for example, helping other children and realizing that different ‘plans’ work for different people) and challenges (for example, maintaining both children's engagement during problem solving and heterogeneity in children's breakdowns). Cognitive orientation to daily occupational performance in a group format is feasible and has the potential to encourage skill acquisition for a greater number of children with developmental coordination disorder.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.003

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 head0.070
GPT teacher head0.349
Teacher spread0.279 · 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 designNon-randomized trial
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

Citations25
Published2014
Admission routes1
Has abstractyes

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