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Record W1507468099 · doi:10.1080/19411243.2012.744649

Appreciative Inquiry with Children and Youth: Harnessing a Powerful Approach to Occupational Change

2012· article· en· W1507468099 on OpenAlexafffund
Heidi Cramm, Wendy Pentland

Bibliographic record

VenueJournal of Occupational Therapy Schools & Early Intervention · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsCanadian Institute for Military and Veteran Health ResearchQueen's UniversityWestern University
FundersCanadian Occupational Therapy FoundationCanadian Child Health Clinician Scientist Program
KeywordsAppreciative inquiryOccupational therapyFraming (construction)PsychologyDevelopmental psychologyPsychotherapistEngineeringPsychiatry

Abstract

fetched live from OpenAlex

Although the appreciative inquiry approach naturally complements and directly aligns with the shift toward occupation-centered practice in occupational therapy with children and youths, it has not yet been explicitly considered for application in occupational therapy for children and youths. Intentionally using an appreciative inquiry approach will change the questions occupational therapists ask in practice, changing perspectives on framing the problem, how to solve it, and indeed what is regarded as a solution. By definition, the approach is both client- and occupation-centered and will contribute to the benefits and positive impact of occupational therapy with children and youths.

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)0.022
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0080.047
Scholarly communication0.0130.010
Open science0.0030.023
Research integrity0.0030.006
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 head0.302
GPT teacher head0.495
Teacher spread0.193 · 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 designQualitative
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

Citations0
Published2012
Admission routes2
Has abstractyes

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