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
Although investigation of school security measures and their relationships to various outcomes including school crime rates (Gottfredson, 2001), perpetuation of social inequality (Ferguson, 2001; Nolan, 2011; Welch & Payne, 2010), and the impact on childhood experiences has seen significant growth within the last 20 years (Newman, 2004; Kupchik, 2010), few studies have sought to explore the impacts of these measures on suspension rates. Using data from the Educational Longitudinal Study (2002), I explore the relationship between security measures and in-school, out-of-school, and overall suspension rates. Results indicate schools with a security officer experience higher rates of in-school suspensions but have no difference in rates of out-of-school or overall suspensions compared to schools without a security officer. No other measure of security was related to higher suspension rates. As prior literature suggests, schools with greater proportions of black students experienced significantly higher rates of all suspension types. Finally, different types of parental involvement correlated with both higher and lower suspension rates.
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 | 0.004 |
| 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