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
As previous research has shown, truants have a higher risk of becoming delinquent. However, the causes of truancy are only seldom analyzed in criminological research. Since truancy is a school related behavior, it can be assumed that school factors play a major role in causing it. Using a German wide representative sample of almost 40,000 pupils of the ninth grade (mean age: 15 years; 50.3 percent male) from 1,200 schools several school factors and their relationship with truancy are tested. These factors are theoretical derived from a push-and-pull-model. Push factors are for instance teacher bullying or violent schoolmates, pull factors are responsive teachers and positive relationships with schoolmates. The results show that teacher bullying and low teacher control significantly increase truancy. Compared with individual risk factors like self-control or school achievement school factors are of lower importance. Additional analyses reveal that there are interaction effects between individual and school level variables: A high level of teacher bullying particularly increases truancy of pupils with bad grades.
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 | 0.001 |
| 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 | 0.001 |
| 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