Bibliographic record
Abstract
Des affiches de mai 68 aux murals républicains de Belfast, des peintures anti-apartheid de Paul Pieter Piech au badge « Touche pas à mon pote » de SOS Racisme, l’image fixe apparaît a priori indissociable des phénomènes contestataires. Imagine-t-on aujourd’hui une manifestation, une grève ou un sit-in sans pancartes ou banderoles illustrées ? Pourtant, aussi omniprésentes soient-elles, les images protestataires restent peu étudiées par les spécialistes de l’action collective. Cet article ambitionne précisément de montrer l’intérêt d’une approche iconographique de la contestation et cherche à en poser les principaux fondements épistémologiques et méthodologiques. Il s’interroge tout d’abord sur les raisons de l’absence de l’image dans les travaux sur les mobilisations contestataires. Il tente ensuite de construire l’image comme objet d’étude légitime de la sociologie des mouvements sociaux. Il entend enfin démontrer en quoi l’image peut constituer un matériau de travail heuristique, susceptible d’enrichir notre connaissance des phénomènes contestataires.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.034 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 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".