Community lives of adolescents across multiple special needs: Discrimination, community belonging, trusted people, leisure activities, and friends
Bibliographic record
Abstract
We sought to gain insights into the community lives, experiences, and activities of adolescents across multiple categories of special needs. Specifically, we: explored the particular aspects of their lives adolescents felt elicited discrimination; determined whether adolescents feel a sense of community belongingness, as well as the categories of people whom adolescents approach when help is needed; and detailed the leisure activities respondents undertake and with which frequency, in addition to the quantity of friendships they have. We performed assorted descriptive analyses of the McCreary Centre Society's 2013 British Columbia Adolescent Health Survey (BCAHS) database. We found tremendous variation in the survey responses of adolescents, both within and between special needs categories, highlighting the importance of such exploratory analyses. This paper provides inductive population-based evidence to inform theories about the community lives of adolescents with special needs, as well as to guide programs and policies targeting such youth.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".