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
The current political climate is characterized by an alarming pattern of global democratic regression driven by authoritarian populist leaders who deploy vast misinformation campaigns. These offensives are successful when the majority of the population lack skills that would allow them to think critically about information in the political sphere, to identify misinformation, and therefore to fully exercise democratic citizenship. Political science has theorized the link between information and power and information professionals understand the cognitive decision-making process involved in processing information, but these two literatures rarely intersect. This paper interrogates the links between information literacy (IL) and the rise of authoritarian populism in order to advance the development of a new transtheoretical model that links political science (which studies power), information science, and critical pedagogy to suggest new paths for teaching and research. We call for a collaborative research and teaching agenda, grounded in a holistic understanding of information as power, that will contribute to achieving a more informed citizenship and promoting a more inclusive democracy.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.104 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it