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
Fake news and populist movements that appear to hold the fate of democracy hostage are urgent concerns around the world. The flight from liberal democracy toward oligarchy has spread out from the unexpected results of the 2016 American presidential elections bringing in a wave of reactionary populism and the beginning of a left populist counter movement. The phenomenon of fake news is often explained in terms of opposition public relations strategies and geopolitics that shift audiences toward a regime of post-truth where emotion is said to triumphs over reason, computational propaganda over common sense, or sheer power over knowledge. In this chapter, the authors propose something different in order to theorize the imaginary audience(s) and conditions of reception for fake news treated as both a symptom (often of injury) and a cause (at times a danger to democracy). This leads them to evaluate the role it plays in defining what the fields of journalism, politics, and social science are becoming and what it means for democracy to come.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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