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
Terrorist groups have exploited the internet and other information technologies to advance their strategies since the mid-1990s. Violent jihadi groups are no exception. They have located the internet at the core of their media strategies, which has given birth to a vibrant global jihadisphere: an online community of militants and sympathizers united by their common adherence to a global Salafi jihadi ideology. Not only do jihadi groups devote increasing energy to attempting to connect with global audiences, but jihadi sympathizers from all around the world are more involved than ever in widening the spread of jihadi online content through para-personal media. The expanding use of non-Arabic languages such as French, English, German, Russian and Dutch by jihadi groups and ideologues has not yet been adequately examined in the academic literature. This article represents a preliminary effort at delineating the nature of the French-speaking jihadisphere, including discussion of the major websites and forums composing it, the real and virtual links between these, and how forum users originally learned of the forums’ existence.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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