Recommending Collegiate Recovery Programs to Institutes of Higher Education in Ireland
Bibliographic record
Abstract
In 2022, a national study titled The DUHEI (Drug Use in Higher Educationin Ireland) was conducted to determine the prevalence and problem of drug use among students in institutes of higher education. The findings of the DUHEI revealed that drug use is prevalent among college students in Ireland, with over half reporting they use or hadused drugs in the past.The study also uncovered a subpopulation of students who have recovered from a previous problem with drug or alcohol use in thepast, known as students in recovery. These students were identifiedas a unique and vulnerable population in need of specific support on college campuses. The authors of the report recommend the establishment of collegiate recovery programs in institutes of higher education in Ireland to support these students in active recovery from addiction. Collegiate recovery programs are well established in the U.S and are emerging in the UK and Canada. This perspective article echoes, and extends upon the DUHEI recommendationto implement CRPs in Ireland, by highlighting the evidence base which demonstrates the efficacy of collegiate recovery programs. Itis important that Irish colleges and Universities follow international best practice by establishing collegiate recovery program.
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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 | 0.019 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.007 | 0.016 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.024 | 0.005 |
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".