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Record W115509065

Leading Through Crisis: Competencies for Effective Sport Security Professionals

2012· article· en· W115509065 on OpenAlexaboutno aff
Steven Gerald Miller

Bibliographic record

VenueAquila Digital Community (University of Southern Mississippi) · 2012
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessPublic relationsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Professional sporting events represent an increasingly growing segment of the national economy and, as a pastime, include annual participation from hundreds of millions of spectators. Providing effective safety and security for these events is a daunting task. Many professional sport venues are iconic structures for mass gatherings that represent susceptible targets for crises such as rising episodes of fan violence, natural disasters, and acts of terrorism. As concerns are ongoing, professional sport organizations need security professionals who not only have the competencies to manage a crisis, but who also lead an organization post-crisis in order to affect organizational learning and improvement. A combination of crisis management and crisis leadership competencies has been developed through this research and form the dependent variables of the newly formed Crisis Readiness Score (CRS) research instrument. The study documents and establishes a baseline for the perceived levels of these crisis readiness competencies. Through hypothesis testing, the study also examines the relationships between education levels, experience levels, and participation in training on the crisis readiness competencies. The study targeted individuals responsible for security at six major professional sport venues throughout the United States and Canada. The questionnaire was sent to 151 security directors with 71 of the surveys completed. A statistical multiple regression was performed to analyze the hypotheses. Education level was not found to be a significant predictor of crisis readiness competency development. Both experience level and participation in training were found to be significant predictors of crisis readiness competency development. The study enhances previous collegiate sport security research by identifying the level of competencies held by the professional sport security workforce. The findings also establish a baseline to which subsequent measures of such competencies can be compared.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.242
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2012
Admission routes1
Has abstractyes

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