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Record W3084078515 · doi:10.5014/ajot.2020.74s1-po8132

Effectiveness of an Intensive Occupational Therapy Camp for Children

2020· article· en· W3084078515 on OpenAlexaboutno aff
Tracy Stackhouse, Hannah K. Burke, Shelly J. Lane, Caroline Hui, Lynette M. Burke, Beth Osten, Colleen Hacker

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2020
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsFidelityPsychologyIntervention (counseling)Occupational therapyDevelopmental psychologyClinical psychologyPsychiatryComputer science

Abstract

fetched live from OpenAlex

Date Presented 03/28/20 Camp Jabiru (CJ) is a naturalistic camp that provides OT through a replicable fidelity process for children with developmental differences. Campers improved their functional performance as measured by the Canadian Occupational Performance Measure (COPM) from both parent and OT ratings. COPM positive change remained stable three months postintervention. The findings suggest the OT intervention provided at CJ via a replicable process has a positive and lasting impact on occupational performance. Primary Author and Speaker: Tracy Stackhouse Additional Authors and Speakers: Hannah Burke, Shelly Lane Contributing Authors: Caroline Hui, Lynette Burke, Beth Osten, Colleen Hacker

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.192
GPT teacher head0.513
Teacher spread0.321 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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