Bibliographic record
Abstract
Understanding and challenging stigma are pressing issues for people with mental health difficulties and for those involved in service provision or mental health promotion. It is currently the focus of national alliances and campaigns such as ‘Time to Change’ in England, ‘See Me’ in Scotland', ‘See Change’ in Ireland and ‘Opening Minds’ in Canada. While there may be a broad consensus that the impact of social stigma may be seriously damaging to people's self-esteem and impair their chances of recovery, there is still a relatively weak evidence base as to what may be effective in tackling stigma (Yanos et al., 2008; Tew et al., 2011). In Challenging the Stigma of Mental Illness, Patrick Corrigan and colleagues seek to provide a practically focused text that is grounded in the experience and narratives of those who have struggled with the impact of stigma on their lives. A particular strength is that it does not shy away from some more difficult areas such as recognising that mental health professionals may be complicit in ‘othering’ people with mental health difficulties to much the same extent as the general population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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) | 0.001 | 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".