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
\n More Share Options\nPrevious article\nView issue table of contents\nNext article\nIn Europe and America, political mobilisations have emboldened citizens to monitor and harass individuals based on categories of suspicion, for instance illegal migrants. These mobilisations, in turn, have spawned counter-movements seeking to render perpetrators of hate-speech and harassment visible and accountable. Depending on the cause defended and the political context, governments may even explicitly support citizen groups that publicise and denounce suspected wrongdoing by other citizens. Digital media cultures facilitate the sharing of evidence of offensive acts, but also the shaming of targeted individuals and a broader moralising against criminal or otherwise undesirable populations. Visibility, as manifest through the public and open distribution of a target’s personal details, stands as a central feature of contemporary vigilante campaigns...
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it