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Record W4285139428 · doi:10.1123/ijsc.2022-0075

Situational Crisis Communication Theory and the National Football League: A Case Study of the NFL’s Response Strategies to Its Concussion Crisis

2022· article· en· W4285139428 on OpenAlexaff
Sabrina Castonguay, Mark Douglas Lowes

Bibliographic record

VenueInternational Journal of Sport Communication · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLeagueCrisis communicationFootballThematic analysisCrisis responseSituational ethicsCrisis managementPublic relationsPolitical scienceQualitative researchSociologySocial scienceLaw

Abstract

fetched live from OpenAlex

This case study analyzes the crisis response strategies used by the National Football League (NFL) in its external communications to address the concussion crisis spanning 2015–2020. The analysis focuses on describing the crisis communication strategies and tactics used by the league. Situational crisis communication theory provides the theoretical framework for analyzing the NFL’s crisis response strategies. A qualitative thematic analysis was conducted of 25 publications published by the NFL on nflcommunications.com, with findings indicating that the NFL focused on the primary crisis strategies of rebuilding and diminishing while employing tactics such as organizational change and shared responsibility . The findings revealed in this case study also highlight a discrepancy between the theoretical ground of situational crisis communication theory and the application of crisis response strategies in a real-life organizational crisis facing a professional sports league.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0030.001
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 head0.036
GPT teacher head0.375
Teacher spread0.339 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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