The yellow vests and the communicative constitution of a protest movement
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Contemporary protest movements are skeptical of mainstream media outlets, and so to communicate, they make extensive use of social media such as YouTube, Instagram and Twitter. Most research to date has considered how protest movements, as preexistent entities, use such social media to communicate with stakeholders, but little, if any research, has considered how a protest movement is constituted in and through communication. Using the Montreal School’s ventriloquial approach to communication and using YouTube video footage of the gilets jaunes – a contemporary French protest movement – in action, the purpose of this article is to explicate how a protest movement that resists the state’s authority is constituted in and through a textual artifact (a video clip on YouTube). Findings indicate that the protest movement is not only discursively constructed through the commentary that accompanies the video, but it is also constituted by non-human actants such as space, buildings and clothing. The protest movement mobilizes networks of human and non-human actants that invoke a moral authority that resists legally authorized state-sponsored networks which are also made up of human and non-human actants.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it