Addressing Stigma in the Community: A Rights-Based Approach to Community-Building
Bibliographic record
Abstract
Abstract Article 12 of the United Nations Convention of Rights of Persons with Disabilities (CRPD) affirms the rights of persons with physical and mental disabilities to be treated as equal, and deserving of state support to realize their full human potential. This focus on a ‘positive’ right to support (as opposed to the ‘negative’ right to non-interference) has established an important set of expectations around societal responses to people living with dementia(PLWD). This presentation examines the contributions of a rights-based approach to build community with and for PLWD. Data is drawn from Participatory Action Research (PAR) and bi-weekly online action groups with N=10 PLWD in urban and rural British Columbia. Two thematic targets were identified. First, it is important to bring together PLWD in ways that create a sense of solidarity and inclusion. Second, fostering community requires addressing the stigma and discrimination which often leave PLWD feeling isolated, excluded, and marginalized.
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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 | 0.023 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.024 | 0.049 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.028 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".