Hayward, Mark. Identity and Industry: Making Media Multicultural in Canada.
Bibliographic record
Abstract
For decades, scholars of migration have explored the formation and role of minority media in the making of postwar Canada and specifically, the country's embrace of cultural diversity as its defining characteristic.In the wake of Prime Minister Pierre Trudeau's 1971 declaration of Canada as a "multicultural society, " these researchers have most often viewed cultural identities and the media that created, organized, and packaged them for audiences as prototypes and forerunners of this emerging social and political reality.From their vantage point in post-1971 Canada, these studies "work back" to uncover the stories of communities and a country in the making (24).They value minority media for their instrumental production role in the organization of ethnic communities, establishment of "ethnic elites, " re-patterning of identity markers, and contributions to Canada's emerging multicultural political framework.Mark Hayward's Identity and Industry: Making Media Multicultural in Canada offers a different approach.Hayward asks us to consider the configurations of minority media networks.They were the result of minority interactions -both gainful and restrictive -with technological, political, and regulatory regimes in postwar Canada.These arrangements consisted of many moving parts and, with a few exceptions, were primarily transmitted and received at the local level.Consequently, there are limited opportunities for the researcher to "see" the effects and success of this type of media apart from minority newspaper readership registers and public events.Standout examples of the latter in the book are 1950s screenings of foreign films in large cities, pay-per-view events brought by satellite signal to urban theatres, and media mogul Johnny Lombardi's momentous CHIN Radio picnics, held annually in Toronto since 1966.The same Lombardi once quipped, "You can't measure ethnic" (131), and the author seems to agree with him when it comes to postwar minority media.Hence, he emphasizes the need for an exploratory approach to read its formations, and these were more historically contingent than contiguous.The stated goal of Identity and Industry is therefore a reasonable one: "to examine and analyze the institutions, organizations, norms, and regulations that served as the infrastructure supporting, monitoring,
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.017 | 0.005 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
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".