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Record W2790791316 · doi:10.1123/ijsc.2017-0106

A Comparative Framing Analysis of Major Violations in the National Collegiate Athletic Association

2018· article· en· W2790791316 on OpenAlexaff
Khirey Walker, Chad Seifried, Brian P. Soebbing, Kwame J.A. Agyemang

Bibliographic record

VenueInternational Journal of Sport Communication · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Alberta
FundersNational Collegiate Athletic AssociationUniversity of Louisiana at LafayetteLouisiana State University
KeywordsFraming (construction)NewspaperCognitive reframingFraming effectNormativePolitical scienceSocial psychologyPublic relationsPsychologySociologyMedia studiesLawHealth communicationGeography

Abstract

fetched live from OpenAlex

The present study used framing theory to analyze reports and articles from 1998 through 2016 offered by the National Collegiate Athletic Association (NCAA) and various newspapers to analyze the relationship between social-control agents and how they speak to specific audiences (e.g., public and NCAA members) about instances of misconduct by Division I members. The concept of conflict framing (i.e., frame alignment, counterframing, and reframing) is featured. The research demonstrated that episodic framing is more widespread than thematic framing, but it is used differently for specific audiences. The study also found that thematic framing is highly correlated with the normative approach and confirms that media outlets used assorted conflict-framing strategies (e.g., frame alignment, counterframing, and debunking) to emphasize that information on cases was false, incomplete, correct, or filtered. Different uses regarding precedent are also acknowledged, along with coverage concerning the type of institution and location of newspaper (i.e., local or national).

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)0.004
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 score0.282
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.055
GPT teacher head0.389
Teacher spread0.335 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations8
Published2018
Admission routes1
Has abstractyes

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