Evaluation of <i>Harsh Reality</i> : A sexual health print-based resource for street-involved youth
Bibliographic record
Abstract
Introduction: Street-involved youth are one of the populations most at risk for elevated rates of sexually transmitted and bloodborne infections. This paper evaluates the suitability and success of a resource focused on health education with a population of street-involved youth in Winnipeg, Canada. Method: Using a mixed method approach, quantitative and qualitative data were collected and analysed. Surveys involving both structured and semi-structured questions were administered orally to 100 participants. Three gender-stratified focus groups (total of 23 participants) were also conducted. Focus groups were recorded and subsequently transcribed. Empirical data was used to calculate frequency distributions, supported by a general inductive analysis of qualitative data. Results: From the interview and focus group data, the majority of participants had a very positive perception of the resource. However, in terms of specific knowledge uptake, participants displayed a lack of recall of the specific items measured in the evaluation, such as local HIV testing facilities, types of HIV tests available and specific information pertaining to recent research conducted in Manitoba with street-involved populations. Conclusion: Both passive distribution of the resource through service-providing institutions and active distribution in the street were effective approaches for exposing a wide range of street-involved youth to the resource. Poor recall of specific knowledge objectives suggests alternate methods of presenting key fact-based information are necessary to increase resource efficiency. Articles must be created at an appropriate reading level for the street-involved population to improve reader engagement. The ability for the target population to identify that the resource is grounded in language, art, interests and lived-experiences of the street-involved youth was well-received and facilitated interest in looking through the resource and credibility of information.
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How this classification was reachedexpand
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 | 0.066 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".