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Record W4416301958 · doi:10.1080/07380577.2025.2589254

Understanding the Cognitive Orientation to Daily Occupational Performance: An Umbrella Review

2025· article· en· W4416301958 on OpenAlexaff
Shiva Abedi, Nazila Akbarfahimi, Seyed Ali Hosseini, Soraya Gharebaghi, Ebrahim Pishyareh, Mohsen Vahedi, Helene J. Polatajko

Bibliographic record

VenueOccupational Therapy In Health Care · 2025
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsOccupational therapyOrientation (vector space)CognitionTypically developingSystematic reviewSample (material)

Abstract

fetched live from OpenAlex

The Cognitive Orientation to daily Occupational Performance is an innovative, goal-directed approach designed to enhance occupational performance. This umbrella review synthesizes evidence from six systematic reviews published (2001–2024) involving children with developmental coordination disorder, cerebral palsy, neurodevelopmental disorders, and adults with post-stroke. Although Cognitive Orientation to daily Occupational Performance demonstrates promise, conclusions remain inconclusive due to methodological limitations, including a high risk of bias, small sample sizes, and short follow-up periods. Importantly, the review underscores the need for culturally adaptable and methodologically rigorous studies to ensure global applicability. Future research should prioritize robust designs and explore alternative delivery methods to enhance effectiveness and generalizability.

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)0.012
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.046
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0210.015
Science and technology studies0.0010.002
Scholarly communication0.0070.007
Open science0.0020.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.140
GPT teacher head0.440
Teacher spread0.300 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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