‘It’s something that I manage but it is not who I am’: reflections on internalized stigma in individuals with bipolar disorder
Bibliographic record
Abstract
Bipolar disorder (BD) is a complex chronic condition associated with substantial costs, both at a personal and societal level. Growing research indicates that experiences with stigma may play a significant role in contributing to the distress, disability, and poor quality of life (QoL) often experienced in people with BD. Here, we present a sub-set of findings from a qualitative study of self-management strategies utilized by high functioning Canadian individuals with BD. Specifically, we describe a theme relating to participants' experiences and understandings of internalized stigma. Descriptive qualitative methods were used including purposeful sampling and thematic analysis. High functioning individuals with BD type I or II (N = 32) completed quantitative scales to assess symptoms, functioning and QoL, and participated in an individual interview or focus group to discuss the self-management strategies that they use to maintain or regain wellness. Thematic analysis identified several themes, including one relating to internalized stigma. Within this, four additional themes were identified: stigma expectations and experiences, sense of self/identity, judicious disclosure, and moving beyond internalised stigma. One of the more unique aspects of the study is that it involves a participant sample that is managing well with their illness, which differs from the norm in biomedical research that typically focuses on pathology, problems and dysfunction.
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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 | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.020 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.009 |
| 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".