Vagaries of News Translation on Canadian Broadcasting Corporation Television: Traces of History
Bibliographic record
Abstract
This article describes a series of failed attempts by the English and French networks of the Canadian Broadcasting Corporation to present translated news. On one level, it is concerned with the impulse that prompts people during moments of crisis to suggest translated news as a solution to a problems related to Canadian identity and the reasons their suggestions to translate news programs are not acted upon. On a deeper level, it is concerned with a methodological and epistemological problem facing translation historians: what happens when the relevant documents are not preserved because journalists’ notions of translation differ from those of historians? It recommends that historians turn to “para-archives,” or collections created and preserved by non-news organizations, that contain descriptions of the documents journalists have not kept. These para-archives can provide evidence for the creation of plausible narratives about the competing interests shaping decisions not to produce translated news. They can also reveal how historians actively produce the categories they use to define their object of study.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.024 | 0.021 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".