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Record W4296778052 · doi:10.1080/00336297.2022.2101495

Constructing “Kin” Citizens: An Investigation of Canadian Kinesiology Programs’ Mission and Vision Statements

2022· article· en· W4296778052 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueQuest · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsYork UniversityCape Breton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsKinesiologyContext (archaeology)SociologyConstruct (python library)Public relationsField (mathematics)Political scienceMedical educationMedicine

Abstract

fetched live from OpenAlex

The purpose of this article is to explore how social forces related to the corporatization of universities play out at the granular level of institutional mission and vision statements in the racialized context of Canadian Kinesiology. The stated aims of Canadian Kinesiology academic units (N = 36) were collected from their public-facing websites, and we conducted a critical discourses analysis of our evidence. We argue that mission and vision statements construct Kinesiology as an altruistic and impactful scholarly project and conceal the contested nature of health, scientific knowledge, and community engagement in the field. Careful analysis of the data, with particular attention paid to that which is unspoken, silenced or erased, highlights how these guiding declarations can renew the field’s underlying racial and colonial logics. To conclude, we note instances when programs use institutional statements to unsettle dominant scripts and open possibilities to work toward a more progressive and just Kinesiology.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.149
GPT teacher head0.507
Teacher spread0.358 · 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