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Record W3101947756 · doi:10.1123/smej.2019-0061

Getting an Internship in the Sport Industry: The Institutionalization of Privilege

2020· article· en· W3101947756 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSport Management Education Journal · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInternshipPrivilege (computing)InstitutionalisationSociologyPublic relationsSport managementWorkforceDisadvantagePolitical scienceLaw

Abstract

fetched live from OpenAlex

Unpaid internships are embedded in sport hegemony. These unpaid sport internships often offer fewer learning opportunities and foster an environment wherein interns feel like “second-class citizens” in their organization. Therefore, the purpose of this study was to investigate the world of unpaid internships in the sport industry by exploring students’ perspectives of them as an institutionalized practice, as well as how privilege impacts their internship experiences. Grounded in institutional theory, data from semistructured interviews with 17 sports management students were analyzed using the Gioia methodology. Three themes emerged from the findings: the idiosyncratic nature of sport internships, the legitimization of unpaid internships in the sport industry, and the institutionalization of privilege spurred by such positions. Practical implications from the study include increasing sport organizations’ awareness of how unpaid internships disadvantage students from less privileged backgrounds and may, therefore, result in a less socioeconomically diverse workforce in the sport industry.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.027
GPT teacher head0.255
Teacher spread0.228 · 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