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Record W2098971760 · doi:10.1123/apaq.2013-0084

Gauging the Quality of Qualitative Research in Adapted Physical Activity

2014· review· en· W2098971760 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.

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2014
Typereview
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsQuality (philosophy)Physical activityPsychologyPhysical therapyMedicinePhysics

Abstract

fetched live from OpenAlex

Qualitative inquiry is increasingly being used in adapted physical activity research, which raises questions about how to best evaluate its quality. This article aims to clarify the distinction between quality criteria (the what) and strategies (the how) in qualitative inquiry. An electronic keyword search was used to identify articles pertaining to quality evaluation published between 1995 and 2012 (n=204). A five phase systematic review resulted in the identification of 56 articles for detailed review. Data extraction tables were generated and analyzed for commonalities in terminology and meanings. Six flexible criteria for gauging quality were formulated: reflexivity, credibility, resonance, significant contribution, ethics, and coherence. Strategies for achieving the established criteria were also identified. It is suggested that researchers indicate the paradigm under which they are working and guidelines by which they would like readers to evaluate their work as well as what criteria can be absent without affecting the research value.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.373
GPT teacher head0.597
Teacher spread0.224 · 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