Bibliographic record
Abstract
nuage cloud dernières années par des chercheuses et chercheurs qui étudient les dimensions matérielles des réseaux numériques et investiguent les rapports de pouvoir, les actions militantes ainsi que les enjeux (notre traduction : Musiani et al., 2016: 4).Les actions qui caractérisent de telles pratiques sont menées politiques qui encadrent leurs usages (Milan, 2013).Ils le font par exemple en exposant les enjeux de dénonçant la censure opérée à travers les kill-switches (de Nardis, 2012), ou encore en soulignant les impacts environnementaux des centres de données (Hogan, 2015).al., 2010), les pratiques de résistance liées aux infrastructures numériques réfèrent communication » (notre traduction : Milan, 2013: 1).Elles font aussi référence aux luttes liées à leur gouvernance qui impactent les libertés civiles, la capacité des citoyens à communiquer des messages ou internationale.Cela est tout à fait logique compte tenu de la dimension éminemment transnationale des réseaux ainsi que du caractère multipartite des pratiques de gouvernance (ICANN, par exemple) qui dans le champ des infrastructures numériques 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".