The impact of school attachment and parental involvement on the positive mental health of 2SLGBTQ + students during COVID-19
Bibliographic record
Abstract
On March 11th, 2020, the World Health Organization (WHO) declared the worldwide outbreak of COVID-19 as a pandemic. On the following day, the Ontario government (Canada’s most populous province) ordered all public schools to close. By Monday, March 16th, 2020, all public schools (and most private schools) in Canada announced plans to physically shutter schools, with a shift to remote and online learning to follow soon after. This unprecedented shift in learning environment for young Canadians came at a time when the onset of the COVID-19 pandemic was creating a challenging environment for the mental health of all Canadians. While all students may have struggled to cope, 2SLGBTQ + students faced an unusually complex shift, as their school and home environments may have contributed differentially to the social supports and acceptance (related to their 2SLGBTQ + identity or identities) that their cisgender heterosexual peers routinely experience in their social surroundings. In this paper, we explore the relationship between school attachment, parental involvement and positive mental health in 2SLGBTQ + youth using data collected as part of the Second Annual School Climate Survey on Homophobia, Biphobia, and Transphobia in Canadian Schools.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".