(De)valuing Intern Labour: Journalism Internship Pay Rates and Collective Representation in Canada
Bibliographic record
Abstract
Unpaid journalism internships have attracted increasing media coverage, but they have received limited scholarly attention. This paper traces the connections between trade unions (in unionized media organizations) and the labour conditions marking journalism internships. While some unions can be complicit in sustaining the exploitation and devaluation of interns with regard to the standard market value of entry-level labour, other unions have fought to establish internships, locking higher salaries into collective agreements. Building on the concept of precarity, this article surveys internships at 19 mainstream English-language newspapers and magazines in Canada. It draws on documentary evidence from and personal communication with labour unions and journalism organizations, internship advertisements, and media coverage to offer a typology of the relationships between pay rates and collective representation within journalism internships: unpaid/low paid and not under union jurisdiction; unpaid/low paid and under union jurisdiction; paid at intern rates and not under union jurisdiction; paid at intern rates and under union jurisdiction; and paid at entry-level employee rates and under union jurisdiction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".