Methodological Precision in Qualitative Research: Slavish Adherence or “Following the Yellow Brick Road?”
Bibliographic record
Abstract
Qualitative research has withstood many challenges on its way to becoming a credible research paradigm, though it remains the case that the paradigm contains ongoing methodological debates. One such debate is, for want of a better expression, the necessity for methodological precision (fundamentalism or purity). While it is accurate that research methodologies are somewhat fluid in that they are refined over time, it is equally correct that some researchers fall into a trap in claiming such fluidity is the reason for their imprecise use of a research methodology. Given that scientific knowledge is inextricably linked to the practice of method (at the very least for those who subscribe to positivist, post-positivist and to some extent modernist views) and that method is prefaced and underpinned by methodology, if methodological slippage has occurred and there is resultant incongruity between methodology and method, then an argument can be made that the study is not a scientific study and consequently cannot make the claim that it has produced scientific knowledge. Even allowing for some movement from the abstract, idealization of a given methodology into the “real world” application of the method, it is essential to note that variation in or movement away from a method’s underpinning methodology and epistemological stances can and does occur in well-designed studies; but if such movement occurs purposefully and/or has an robust rationale, grounded in the method’s original methodology.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | high |
| gpt | Metaresearch Domain: Methods · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | high |
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 | 0.631 | 0.767 |
| Meta-epidemiology (narrow) | 0.002 | 0.004 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.018 | 0.173 |
| Scholarly communication | 0.023 | 0.040 |
| Open science | 0.008 | 0.030 |
| Research integrity | 0.020 | 0.031 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".