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Record W2041775268 · doi:10.1080/713693147

Using Reflective Process in Community-based Participatory Action Research

2000· article· en· W2041775268 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReflective Practice · 2000
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsOkanagan CollegeUniversity of VictoriaOkanagan University College
Fundersnot available
KeywordsAgency (philosophy)Participatory action researchEmpowermentNursingTransformational leadershipAction researchPublic relationsPsychologyMedicineSociologyPolitical sciencePedagogy

Abstract

fetched live from OpenAlex

Using principles of transformational leadership, the management team of a Community Care Program (CCP) in British Columbia, Canada involved its staff, clients, and community agency personnel in a participatory action research process to evaluate the CCP's in-home nursing and physio/occupational programs. An iterative reflective process was initiated by the management team and expanded to include all stakeholders. We used a descriptive design with multiple analytic methods. CCP clients, agency personnel, and physicians were surveyed for their perceptions of whether CCP staff practised according to their core program values. Findings revealed minor discrepancies between the CCP's espoused values and those they practised with clients and agency personnel. An important outcome of this study was demonstrating the power and effectiveness of active participation by professional staff, consumers, and agency partners in all aspects of change within a traditional bureaucratic system.

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.

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)0.015
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.008
Insufficient payload (model declined to judge)0.0010.001

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 head0.754
GPT teacher head0.703
Teacher spread0.051 · 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