Bibliographic record
Abstract
The focus in this book is on Aboriginal media in the Canadian North, examined in the context of the development of Canadian, North American, and international Aboriginal communications and northern communications in general.Canada has long been a world leader in both northern and Aboriginal communications and especially in the development of Aboriginal communications in the North.Today, Canada maintains this leadership position despite the many setbacks and cutbacks that have followed each increment of progress, the increasing number of new initiatives and improvements to existing services in other countries, and the notable challenges from Australian indigenous radio and television. 1 Although many of the developments in northern communications have been small-scale and ad hoc, others have been ambitious and far-reaching.The federally funded Project Inukshuk sponsored by Inuit Tapirisat Canada (ITC), for example, helped to establish Inuit broadcasting.Its offspring, the Inuit Broadcasting Corporation, continues to thrive and to expand its radio and television programming.Inuit communications are among the most highly developed and consistently productive of the northern services, reflecting parallels in the political sphere -notably the emergence of the Inuit homeland of Nunavut, which became an official territorial government in April 1999.In the early 1990s the Anik satellites made it possible to develop Television Northern Canada (TVNC), the unprecedented television programming system produced under the leadership of representatives from thirteen federally funded regional Aboriginal communications societies (discussed in detail in Chapter 3).Its founders hope that it will some day span the circumpolar North to include Alaska, Greenland, Finno-Scandia, and Siberia.Although Ottawa persists in cutting funds, the broadcast explosion continues both in Canada and worldwide, facilitating the expansion of satellite availability and program development everywhere.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.548 | 0.287 |
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".