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
<div> Objectives 1) To compare the effect of the self-report distress tool (DT) and rapid mental health referral process (MH) on vocational training program attendance. 2) To compare the effect of the DT and MH on vocational training program completion. 3) To compare the effect of the DT an MH on post-vocational training program employment. Design Pragmatic, multi-centre, 2x2 factorial, cluster randomized, superiority study with 4 parallel groups and primary endpoints of vocational program attendance and completion at 12 weeks and post-program employment at 24 months. Cluster randomization of each training cohort will be performed with a 1:1:1:1 allocation ratio using a site stratified, permuted-block group schema. Final sample size is expected to be 400 participants (100 per group). Participants Students enrolled in Community Builder’s Trades & Diversity Training Program in either the city of Barrie or Sudbury (in Ontario, Canada) will be eligible for enrollment if they have an active Ontario Health Insurance Plan number and Canadian Social Insurance Number and provide written informed consent prior to Training program commencement. Outcomes The primary outcome includes: 1) Difference in proportion of absence-free program days from date of randomization, where absence-free days are defined as being present in class or work setting for ≥ 8 hours from Monday to Thursday during the 12-week program duration. Trial registration ClinicalTrials.gov <a href="https://clinicaltrials.gov/ct2/show/NCT05626374" target="_blank">NCT05626374</a> (November 23, 2022). </div>
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.609 | 0.047 |
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