Bibliographic record
Abstract
Connu pour ses films largement primés à travers le monde, Igloolik ISUMA Productions a mis en place un réseau virtuel qui, aujourd'hui, diffuse massivement, partout dans le monde, des images et des entretiens sur les questions autochtones. La compagnie a cependant des objectifs plus fondamentaux, comme ceux de se faire le porte-parole de multiples revendications contemporaines, tant sur le plan de la culture (préservation du patrimoine…) que sur celui de l'économie et des revendications (défense des droits des peuples face à l'exploitation minière, etc.). Cet article tente de montrer comment, dans le Grand Nord, un média électronique comme IsumaTV, joue un rôle décisif dans la mise en place de véritables connexions autochtones. Par le biais d'une analyse de contenu d'Isuma.tv, les auteurs examinent comment ces productions peuvent alimenter et trans former les images à l'échelle globale du cyberespace, alors que, pour de multiples raisons, les effets locaux demeurent plus restreints. Ils avan cent l'idée que le religieux figure au centre de ces flux dans la mesure où il donne plus de force aux revendications autochtones.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".