An Empirical Appraisal of Canadian Doctoral Dissertations Using Grounded Theory: Implications for Social Work Research and Teaching
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
Grounded theory is a popular methodological approach in social work research, especially by doctoral students conducting qualitative research. The approach, however, is not always used consistently or as originally designed, compromising the quality of the research. The aim of the current study is to assess the quality of recent Canadian social work doctoral dissertations implementing a grounded theory approach. Our analysis is based on the premise that presentations of grounded theory approaches in doctoral dissertations impact the conduct of teaching and future research and have direct implications for the legitimacy of qualitative research. Using Saini and Shlonsky’s Qualitative Research Quality Checklist, the authors appraised dissertations in terms of credibility, dependability, confirmability, transferability, authenticity, and relevance. The article concludes with implications regarding the quality of studies utilizing grounded theory approaches and consequences for future doctoral education and research.
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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 | 0.022 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it