Technology-Facilitated Sexual Violence and Associated Mental Health Resources for Racialized Youth in Alberta and British Columbia: An Environmental Scan Protocol
Bibliographic record
Abstract
Introduction Technology-facilitated sexual violence (TFSV) has significant negative impacts on the well-being of youth. TFSV manifests in various forms, including online harassment, abusive messages, and social media stalking. Given that many young people actively engage on social media platforms where TFSV is prevalent, those affected often lack access to adequate support. Additionally, racialized youth may encounter further obstacles in accessing help due to factors such as socioeconomic challenges, discrimination, and limited resources in their communities. Unfortunately, there is a significant gap in the literature regarding available resources and the barriers faced by racialized youth who experience or are at high risk for TFSV and its associated mental health impacts. Objective The objective of this environmental scan is to identify and catalog the resources available to support racialized youth affected by TFSV in the Canadian provinces of Alberta (AB) and British Columbia (BC). Methodology We will implement a structured search plan based on a six-step environmental scan strategy recommended by Jones (2022), with guidance from a subject expert librarian. The six steps include: (1) defining the purpose of our scan, (2) formulating the research question, (3) outlining the activities to be conducted, (4) generating a list of relevant keywords for searches, (5) systematically cataloging the information gathered, and (6) presenting the findings that are most beneficial for our organization. Results We anticipate that the scan will reveal barriers to accessing support services and resources for racialized youth victims of TFSV in AB and BC. The findings will also facilitate the development of policy recommendations aimed at addressing mental health and related outcomes associated with existing programs. Conclusion The results of this environmental scan will highlight various stakeholder services and resources available in AB and BC for youth. The findings will inform future intervention efforts and contribute to a comprehensive database of resources that can be utilized by relevant stakeholders to support initiatives aimed at racialized youth across Canada. Keywords: Racialized youth, technology facilitated sexual violence, mental health, youth services, online sexual harassment
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".