Bibliographic record
Abstract
The proportion of publications of qualitative research in mainstream psychology journals is small. Thus, in terms of this important criterion, despite its recent rapid growth, qualitative research is marginalized in psychology. The author suggests that contributing to this situation is the lack of a coherent and unifying methodology of qualitative research methods that elucidates their credibility. He groups the many qualitative research methods into 3 main kinds, then applies to them 4 propositions offered as such a methodology: (1) Qualitative research is hermeneutical, entailing application of the method of the hermeneutic circle to text about experience and/or action. (2) Implicit in the use of the hermeneutic circle method is the activity of educing and articulating the meaning of text, an activity that modifies and interacts with C. S. Peirce's (1965, 1966) logical operations of abduction, theorematic deduction, and induction. (3) The cycling of these 4 moments enables demonstration, achieved rhetorically, of the validity of the understandings resulting from the exegesis of the text under study. (4) This demonstrative rhetoric is enhanced when researchers disclose reflexively those aspects of their perspectives they judge to have most relevant bearing on their understandings. The author compares abduction as formulated here with other recent uptakes of it. As an installment on the generality of the methodology, he explores its fit with the descriptive phenomenological psychological method, conversation analysis, and thematic analysis.
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.
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 | 0.250 | 0.195 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.004 | 0.028 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".