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Record W3187055410 · doi:10.15453/2168-6408.1765

Cognitive Orientation to Daily Occupational Performance (CO-OP): 1-week Group Intervention with Children Referred for Motor Coordination Difficulties

2021· article· en· W3187055410 on OpenAlexaff
Rose Martini, Jacinthe Savard

Bibliographic record

VenueThe Open Journal of Occupational Therapy · 2021
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOccupational therapyIntervention (counseling)Orientation (vector space)CognitionPsychologyMotor coordinationDevelopmental psychologyClinical psychologyPhysical therapyPhysical medicine and rehabilitationMedicinePsychiatry

Abstract

fetched live from OpenAlex

Background: The aim of this study was to explore the effectiveness of a Cognitive Orientation to daily Occupational Performance (CO-OP) intervention delivered in a group format in a 1-week summer day camp program for children referred for motor coordination difficulties. Transfer of learned skills to self-selected tasks not addressed in the group intervention was also explored. Method: A quasi-experimental one group pretest-posttest design with a 1-month follow-up was used. Changes in nine children’s self-selected occupational performance goals, as well as their sense of self-efficacy for these goals, were determined using nonparametric statistics. Results: Findings indicate a significant performance improvement at both posttest and follow-up, with large effect sizes. Self-efficacy also significantly changed across sessions on tasks directly addressed, with large effect sizes. No statistically significant changes for any of the measures were noted for the tasks that were not addressed during camp. Conclusion: The CO-OP in group format in an intensive 4-day summer day camp was effective in improving performance of self-selected camp goals, as well as self-efficacy, but less effective for transfer of learned skills to other tasks.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

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

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 head0.078
GPT teacher head0.386
Teacher spread0.308 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations12
Published2021
Admission routes1
Has abstractyes

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