Made in Canada. The Languages of the Media
Bibliographic record
Abstract
This book explores the languages of the Canadian media from different interdisciplinary approaches. First of all, it wants to celebrate a long-lasting but often neglected liaison bringing Italy and Canada unexpectedly together. It is well known how, from the mid-1950s, the School of Toronto became the “invisible college” that introduced a new approach to the very idea of “media”, insisting on the humanistic roots of the term and suggesting a trans-disciplinary view of old and new forms of communication. However, it is seldom recalled that our current understanding of the term media was due to an experiment by Guglielmo Marconi, a young Italian, carried out in Canada as early as 1901. \nThe essays here collected bring together ideas and observations from mainly Italian scholars working on the interplay of communication, literature, language studies, cultural memory, film and media studies to assess Canadian cultural and societal issues within old and new versions of the global village. Mobile and digital technologies have reconfigured the electric/electronic environment, bringing new opportunities as well as new challenges. Once again, society is changing fast, together with its people and its forms of expressions; once again, Canada offers an interesting scenario to explore short and long-term effects of such changes.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.004 |
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".