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Record W7065973139

Exploring the Concussion Experience Within Sport: An Authoethnographic Study

2023· other· en· W7065973139 on OpenAlexaff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2023
Typeother
Languageen
FieldSocial Sciences
TopicPublic Administration and Political Analysis
Canadian institutionsBrock University
Fundersnot available
KeywordsNucleofectionHyporeflexiaTSG101Gestational periodArticular cartilage damageDysgeusia
DOInot available

Abstract

fetched live from OpenAlex

Concussions are a highly individualized experience, with different profiles of expression
\nencapsulating a diverse range of symptom sequalae. However, the lived through experience of those who have sustained a concussion oftentimes takes a backseat to the more standardized quantitative medical approach to healing. The purpose of this thesis is to engage and address gaps in literature and document the necessity and benefit of qualitative research to understand the nuances of the concussion experience by utilizing an autoethnographic approach and a Critical Disability Studies (CDS) method of writing termed “Disability Life Writing.” Additionally, this thesis attempts to remove a barrier to concussion information by presenting concussion knowledge in accessible terminology and language, aiming to make concussion awareness available to those without knowledge of medical terminology or discourse. Regarding concussions in sport, this thesis aims to illuminate hidden values and ideologies within a sporting culture that ultimately work to socialize an athlete to play through pain and hide/not disclose injuries such as a concussion to peers, coaches, or other members of the sporting culture. The author analyzed all the aims listed above through a CDS lens using core CDS concepts such as stigma, stereotyping, normalcy, and invisible disabilities as analytic touchstones.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.315
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.056
GPT teacher head0.271
Teacher spread0.215 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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