Going to the Source: Creating a Citizenship Outcome Measure by Community-Based Participatory Research Methods
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: This study used participatory methods and concept-mapping techniques to develop a greater understanding of the construct of citizenship and an instrument to assess the degree to which individuals, particularly those with psychiatric disorders, perceive themselves to be citizens in a multifaceted sense (that is, not in a simply legal sense). METHODS: Participants were persons with recent experience of receiving public mental health services, having criminal justice charges, having a serious general medical illness, or having more than one of these "life disruptions," along with persons who had not experienced any of these disruptions. Community-based participatory methods, including a co-researcher team of persons with experiences of mental illness and other life disruptions, were employed. Procedures included conducting focus groups with each life disruption (or no disruption) group to generate statements about the meaning of citizenship (N = 75 participants); reducing the generated statements to 100 items and holding concept-mapping sessions with participants from the five stakeholder groups (N = 66 participants) to categorize and rate each item in terms of importance and access; analyzing concept-mapping data to produce citizenship domains; and developing a pilot instrument of citizenship. RESULTS: Multidimensional scaling and hierarchical cluster analysis revealed seven primary domains of citizenship: personal responsibilities, government and infrastructure, caring for self and others, civil rights, legal rights, choices, and world stewardship. Forty-six items were identified for inclusion in the citizenship measure. CONCLUSIONS: Citizenship is a multidimensional construct encompassing the degree to which individuals with different life experiences perceive inclusion or involvement across a variety of activities and concepts.
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.
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 | 0.029 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it