“They fabricated lies against us and described us in the harshest of ways”
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
Abstract Over the past decade, Islamic State (ISIS) has made numerous attempts to propagate their beliefs on a global scale via a range of social media platforms (e.g. Twitter ), enabling them to reach an extensive audience within a very short time span; when successful, people enlist as supporters of their ideas and, essentially, become radicalised. ISIS also achieve this through publishing propaganda materials, such as the two online magazines Dabiq and Rumiyah ( Heidarysafa et al. 2019 ). In this paper, our focus lies with the former. Through a transitivity analysis of three issues from Dabiq , this paper explores how the in-group (the believers) and the Other (the non-believers) are represented in the magazine. The transitivity framework is useful here because it exposes the linguistic choices that people make and, in turn, reveals how they perceive their world. To retrieve both quantitative and qualitative findings, the UAM Corpus Tool ( O’Donnell 2016 ) is employed.
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 | 0.000 |
| 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 | 0.000 |
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