STICKABILITY, TRANSFORMABILITY AND TRANSMITTABILITY: ALTERNATIVE, PULL-OUT PROGRAMS WITHIN SCHOOLS — WHAT THE LITERATURE SAYS ABOUT EFFECTIVE PRACTICE AND PROVISION FOR DISENFRANCHISED YOUNG PEOPLE
Bibliographic record
Abstract
This paper draws on the findings of a recent and extensive literature review to examine the efficacy of pull-out education programs (alternative programs) in schools in relation to student learning, well-being, and pathways. It synthesises the research on alternative education programs and their contribution to student outcomes using three main conceptual categories: how sustainable these programs are — their stickability; how effective these programs are in achieving their stated purpose of improving and enhancing vulnerable students’ learning, well-being, and pathways — their transformability; and how these programs may be used successfully in other locations and contexts — their transmittability. It concludes with recommendations for future practice, suggesting that school systems should prioritise prevention and early intervention in providing support to vulnerable students in ways that take account of students’ own reasons for why they are disengaged from schooling.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".