Social determinants of alcohol-related traumatic injury in young adults: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Limited research examines alcohol-related injury in the context of social determinants of health (SDoH) to guide effective intervention and prevention programmes. SDoH are non-medical factors that impact health such as income, housing and childhood environment. This scoping review aims to explore the role SDoH in childhood have in alcohol-related injury in young adults. METHODS AND ANALYSIS: The scoping review process will be guided by the methodology framework of Arksey and O'Malley and the Preferred Reporting Items for Systematic Reviews and Meta-analysis Protocols Extension for Scoping Reviews Guidelines (PRISMA-ScR). The PubMed and SCOPUS databases will be systematically searched. Studies of various designs and methodologies (published in English since 1 January 2000) that examine certain SDoH of interest in relation to alcohol-related injury in adults aged 18-25 years old will be considered for inclusion in this review. Two reviewers will screen all articles identified from the databases independently. Titles and abstracts will be reviewed based on the initial search and included if eligibility criteria are met. Duplicate articles will be removed and full texts will be examined to create a final list of included studies. Any disagreements on the inclusion of any articles will be resolved through discussion and consultation with a third reviewer if necessary. ETHICS AND DISSEMINATION: As this research does not involve human subjects, ethics approval is not required. The results of this study will be summarised quantitatively through numerical counts and qualitatively through a narrative synthesis. The results from this review will address an important literature gap and inform the development of targeted prevention programmes for alcohol-related injury. REGISTRATION NUMBER: This protocol is registered with Open Science Framework (https://doi.org/10.17605/OSF.IO/MYEXA).
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.
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 | 0.122 | 0.092 |
| Meta-epidemiology (narrow) | 0.006 | 0.008 |
| Meta-epidemiology (broad) | 0.013 | 0.013 |
| Bibliometrics | 0.021 | 0.016 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.008 | 0.009 |
| Research integrity | 0.012 | 0.009 |
| Insufficient payload (model declined to judge) | 0.078 | 0.021 |
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".