Bibliographic record
Abstract
Les technologies numériques sont non seulement colonialistes dans leurs pratiques, mais le sont aussi dans leur création et leur conception. Des propositions provenant de toutes les régions et de toutes les écoles politiques ont été mises en œuvre dans le monde entier pour contrecarrer les effets de la colonialité numérique (par exemple, les grandes sociétés technologiques en Chine, le coup de pouce des organisations internationales pour mettre fin aux inégalités sociales dans le monde au moyen de la numérisation, le rejet des technologies numériques, entre autres), mais on note encore une absence de manières décolonisées et autochtones de créer les technologies numériques. Ce court article, basé sur ma recherche doctorale, a donc pour but de formuler des principes de conception des technologies numériques décolonisatrices par le récit de la mise sur pied de la plateforme Indigenous Friends (Indigenous Friends Platform - IFP) destinée aux jeunes Autochtones citadins de l'Université York, à Tkaronto, au Canada.
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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.054 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".