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Record W2910022550

Interns Talk Back: Disrupting Media Narratives about Unpaid Work

2019· article· en· W2910022550 on OpenAlexaff
Nicole S. Cohen, Greig de Peuter

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsWilfrid Laurier UniversityUniversity of Toronto
Fundersnot available
KeywordsInternshipUnpaid workMainstreamNarrativeSociologyPolitical sciencePublic relationsEmployabilityGender studiesWork (physics)Law
DOInot available

Abstract

fetched live from OpenAlex

In the 2010s, the intern rights movement challenged the view that the unpaid internship is an innocuous labour practice. This article draws on a review of international news coverage of unpaid internships between 2008 and 2015 and considers interviews with intern activists to document and contextualize the increasingly contentious issues at stake. Our analysis of media coverage identifies five recurrent media frames: employability, tough times, social mobility, legality, and backlash. While early news content tended to normalize unpaid work, unpaid internships were increasingly labelled as exploitative, illegal, and unfair. The coverage exhibited gaps and ideological strategies of containment, yet the case of unpaid internships appears to be an anomaly considering the difficulties that unions have tended to face in getting labour perspectives into mainstream media. We offer explanations for the extensive and often critical coverage of unpaid internships, highlighting media-savvy intern advocacy groups as particularly influential actors in shifting mainstream media narratives.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.015
GPT teacher head0.267
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2019
Admission routes1
Has abstractyes

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