Community research for participation : from theory to method
Bibliographic record
Abstract
Part One: Theoretical and methodological issues ~ Community research: opportunities and challenges ~ Lisa Goodson and Jenny Phillimore A critical communicative perspective on community research: Reflections on experiences working with Roma in Spain ~ Aitor Gomez and Terese Sorde Marti Authenticity and validity in community research: Looking at age discrimination and urban social interactions in the UK ~ Andrew Clark, Caroline Holland and Richard Ward Community research with Gypsies and Travellers in the UK: Highlighting and negotiating compromises to reliability and validity ~ Philip Brown, Lisa Scullion and Pat Niner Involving community researchers in refugee research in the UK~ Gaby Atfield, Kavita Brahmbhatt, Hameed Hakimi and Therese O'Toole Universities as agents in the empowerment of local communities in Germany, Finland and Russia ~ Patricia Bell, Melinda Madew, Tony Addy and Sakari Kainulainen Data analysis and community research: Capturing reality on housing estates in Bradford, UK ~ Heather Blakey, EJ Milne and Louise Kilburn Participation in community research: Experiences of community researchers in HIV/AIDS research in South Africa ~ Maretha Visser Part Two: Ethics, power and emotion ~ Power and participation in community research: Community profilinh in Italy ~ Terri Mannarini The pedagogy of community research: Moving out of the ivory tower and into community organisations in Canada ~ Karen Schwartz, Adje van de Sande and Ann Marie O'Brien Engaging community researchers in evaluation: Looking at the experiences of community partners in school based projects in the US ~ Jenifer Cartland, Holly Ruch-Ross and Maryann Mason Are we recovery orientated? An Australian encounter of learning from people with lived experience ~ Lisa Brophy, Melissa Petrakis, Liam Buckley, Matthew Scott, Jayne Lewis, Nadine Cocks, Michael Stylianou and Kieran Halloran Ethics in community research: Reflections from ethnographic research with First Nations people in the US ~ Barbara Kawulich and Tamra Ogletree Avoiding best being the enemy of good: using peer interviewer methods for community research in place-based settings in Australia ~ Deborah Warr, Rosey Mann and Richard Williams Part Three: Managing the research process ~ Mental health service users and carers as researchers: reflections on a qualitative study of citizens' experiences of compulsory mental health laws in Northern Ireland ~ Damien Kavanagh, Gavin Davidson, Jim Campbell, Martin Daly and Moira Harper Community organisation and community research: Women's struggle for food security in India ~ Janki Andharia Community researchers in an adolescent risk reduction intervention in Botswana: Challenges and opportunities ~ Bagele Chilisa and Rapelang Chilisa Recruitment and capacity building challenges in participatory research involving young people in Northern Ireland ~ Claire McCartan, Dirk Schubotz and Stephanie Burns Translating lives: Cross language community research with Polish migrants in the UK ~ Bogusia Temple and Katarzyna Koterba Mentoring refugee community researchers in the UK: An empowerment tool? ~ Patricia A. Jones and Ricky Joseph.
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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 | 0.143 | 0.103 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.013 | 0.045 |
| Scholarly communication | 0.027 | 0.034 |
| Open science | 0.009 | 0.028 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".