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Record W2074417583 · doi:10.2182/cjot.2011.78.4.8

Conceptualizing Community Development: Occupational Therapy Practice at the Intersection of Health Services and Community

2011· article· en· W2074417583 on OpenAlexaffvenueabout
Heidi Lauckner, Terry Krupa, Margo Paterson

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2011
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsOccupational therapyConstructivist grounded theoryConceptual frameworkPsychological interventionFocus groupLegitimacyPerspective (graphical)Public relationsPsychologyGrounded theorySociologyMedical educationMedicineQualitative researchNursingPolitical scienceSocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Despite occupational therapy's theoretical commitment to community development (CD) approaches, current practice models focus on individual interventions rather than community issues. PURPOSE: This research examined three cases of Canadian occupational therapists working in CD to conceptualize CD from an occupational therapy perspective. METHOD: Data collection occurred over 12-14 days at each site and included observations, document reviews, and interviews with 14 colleagues and program participants. Constructivist grounded theory informed data analysis. FINDINGS: A conceptual framework was developed that describes the contextual background to CD initiatives and the strategies used: nurturing community partnerships, building community capacity, influencing health services, and linking sectors. Underlying these strategies was the strategic use of self which allowed the sharing of power and legitimacy to create opportunities for meaningful occupational engagement. IMPLICATIONS: The conceptual framework helps articulate CD's underlying processes and can be used to understand and guide practice.

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)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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 score0.282
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.551
GPT teacher head0.521
Teacher spread0.029 · 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

Citations32
Published2011
Admission routes3
Has abstractyes

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