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Record W4396855983 · doi:10.26522/jess.v10i.4543

The New Normal

2024· article· en· W4396855983 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Emerging Sport Studies · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAthletic Training and Education
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Control (management)Argument (complex analysis)Public relationsScholarshipKnowledge managementOrganizational structureOrganization developmentBusinessComputer sciencePolitical scienceManagementEngineeringMedicineEconomics

Abstract

fetched live from OpenAlex

Over the past two years, sport organizations worldwide have had to adapt traditional operating procedures regarding employee health and well-being as a response to the COVID-19 pandemic. Among these has been the implementation of remote work as an integral part of organizational structure. Through a review of the general literature regarding remote work, this paper presents an argument for the adoption of remote work as part of the standard operating practices of intercollegiate athletic departments. Specifically, organizational control theory provides a lens through which college athletic organizations can implement remote work and maintain a level of organizational effectiveness by utilizing the management of communication and trust. By extending scholarship on organizational control theory within sport management, the utilization of the organizational controls will allow athletic department leadership to modernize their departments while gaining competitive advantage.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.120
GPT teacher head0.509
Teacher spread0.389 · 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