MétaCan
Menu
Back to cohort
Record W3151632390 · doi:10.1177/0008417421994368

Implementing Partnering for Change in Québec: Occupational Therapy Activities and Stakeholders’ Perceptions

2021· article· en· W3151632390 on OpenAlexfundvenueaboutno aff
Chantal Camden, Wenonah Campbell, Cheryl Missiuna, Jade Berbari, Léa Héguy, Cheyenne Gauvin, Rosalie Dostie, Lina Ianni, Lisa Rivard, Dana Anaby

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2021
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
FundersFonds de Recherche du Québec-Société et Culture
KeywordsCoachingOccupational therapyPerceptionPsychologyMedical educationMedicinePhysical therapyPsychotherapist

Abstract

fetched live from OpenAlex

BACKGROUND.: The occupational therapy school-based Partnering for Change (P4C) model has mostly been documented in Ontario. PURPOSE.: This implementation study describes the implementation of P4C in two Québec elementary schools (P4C-Q), as well as therapy practices, their impacts, factors perceived to influence implementation, and recommendations. METHOD.: A sequential mixed-methods design was applied. Therapists (n=2) completed daily journals, describing activities by P4C-Q level. Therapists and other school-stakeholders (n=11) participated in semi-structured interviews, analyzed through a content analysis framework. FINDINGS.: Daily journals illustrated that the majority of therapy time was spent on activities targeting the entire classroom, and on collaboration with educators. Interviews illustrated how coaching was used across different practices and the impact of these practices for schools (e.g., capacity-building) and children (e.g., increased functioning), and highlighted how relationship-building is key to facilitating the implementation of this model. IMPLICATIONS.: Lessons learned may be helpful for others implementing P4C in their own contexts.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.673
GPT teacher head0.559
Teacher spread0.114 · 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.

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

Citations18
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Occupational TherapySame topicOccupational Therapy Practice and ResearchFrench-language works237,207