Podcasting marginalized history: Historica Canada’s world war podcast narratives and their audio archival considerations
Bibliographic record
Abstract
This article is an examination of podcasts portraying marginalized and racialized Canadian lived experiences during the world wars. This research is a textual and auditory analysis of the historical narratives of Canadian minority experiences in the world wars evident in Historica Canada’s podcast episodes: ‘The No. 2 Construction Battalion and the Fight to Fight’ (16 June 2016), ‘A Proud Benchwarmer’ (29 March 2016) and ‘The Tomkins Brothers’ (16 December 2019). The impact of both sound and text is explored regarding the impact on podcasting’s potential to present alternative war history narratives. In addition to the expansion of the historical record examined in these podcast analyses, the potential for the survival of these histories is examined through an evaluation of the podcast repositories as archives and potential public access points.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.040 | 0.019 |
| Scholarly communication | 0.019 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".