Reflection on the Methodological Aspects of a Critical Ethnographic Approach used to Inform Change for Adolescents with Disabilities
Bibliographic record
Abstract
Debate remains about how to effectively obtain information from adolescents with disabilities in marginalized areas and how to apply this knowledge to shape rehabilitation activities. This study explored how to empower adolescents in the urban slums of North India to assume greater control over their rehabilitation within the context of a local community-based rehabilitation program. Participants included 21 adolescents with and 11 adolescents without disability (aged 12 to 18 years), and 10 community-based rehabilitation workers. A critical ethnographic approach was adopted. Fieldwork was conducted from January to May 2005 and October 2006 to March 2007. This paper focuses on the methodological aspects of this study, and how critical ethnography was used to inform positive changes for adolescents with disabilities using their perspectives.
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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 | 0.013 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".