Les pratiques de non-mixité des communautés féministes en ligne à l’ère des espaces semi-privés
Bibliographic record
Abstract
Sur le plan de l’infrapolitique, des communautés féministes en ligne se construisent en non-mixité pour se prémunir contre les cyberviolences antiféministes, qui sont de plus en plus des armes politiques. Par l’entremise d’une ethnographie en ligne du groupe privé Sexualité féministe (non-mixte) sur Facebook, les résultats montrent comment les espaces semi-privés en ligne constituent des arènes de socialisation où se développe difficilement une conscience collective au travers de la relation entre groupes dominants et groupes subalternes. En prétendant la construction d’un espace sécuritaire en ligne, le groupe Sexualité féministe (non-mixte) n’offre finalement pas le même degré d’ empowerment , de soin et de sécurité aux membres.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; both teacher heads agree on what is shown here.
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".