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
Metal music has a signifying visual aesthetic or so-called visual code. In this article, I examine the significance of four primitive visual properties that characterize the code. I propose that the propensity for visual artefacts of metal music to depict low luminance, low colourfulness, redness and angular shapes is because these properties can act as subtle threat cues. As metal music has a preoccupation with threatening themes and sounds, these four properties provide concordant visual information about the affective attributes of the genre. After reviewing the supporting psychological evidence, I conduct a quantitative test of this proposal by comparing album covers from extreme metal bands to those from children’s music, two genres that are opposed to one another in their embrace of a threatening atmosphere. The results indicate that extreme metal album covers are darker, less colourful, redder and feature more angular shapes compared with their children’s counterparts, which suggests that these properties are relied upon to communicate a clear threat signal.
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) | 0.014 | 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