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Mind the Gap (or Mending It): Qualitative Research and Interdisciplinarity in Kinesiology

2009· article· en· W1984371815 on OpenAlex
Patricia Vertinsky

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

VenueQuest · 2009
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsKinesiologySociologyDiversity (politics)Sports scienceBridge (graph theory)Qualitative researchSocial sciencePsychologyPolitical scienceMedical educationAnthropologyMedicineLaw

Abstract

fetched live from OpenAlex

This article addresses the perceived gap between the humanities and social sciences, and the sciences in kinesiology faculties and departments as interdisciplinary pressures mount in an increasingly complex world. I use an historical lens to highlight past difficulties in working across the two solitudes and describe Stephen Jay Gould's efforts to mend the gap. Likening the humanities to the cunning fox and science to the persistent hedgehog, he argued that with care the two seeming opposites can be unified. I discuss how kinesiologists might follow his advice in developing more fertile collaborative interdisciplinary approaches in research, teaching, and professional training and provide some suggestions for mechanisms that might enhance the benefits of working together to bridge the divide. I conclude that we had better seek productive ways—in mutual respect and frequent conversations—to stick together in our broad and useful diversity.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.411
Threshold uncertainty score0.468

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.641
GPT teacher head0.726
Teacher spread0.085 · 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