Approaching the Conceptual Leap in Qualitative Research
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
This paper reviews the literature on an important but mysterious phenomenon in qualitative research methodology: the conceptual leap that generates abstract theoretical ideas from empirical data. Drawing on epistemological, prescriptive and reflexive writings, conceptual leaps are described as constituted by both ‘seeing’ and ‘articulating’, as grounded in abductive reasoning, and as part of an ongoing dialectical process. Methods for approaching conceptual leaps and the conditions for their realization are discussed in the context of four dialectic tensions: between deliberation and serendipity, between engagement and detachment, between knowing and not knowing, and between self‐expression and social connection. The literature review suggests that conceptual leaping is best portrayed as a form of bricolage, drawing resources from the different poles of the four dialectics. Moreover, written and verbal communication play important roles in enabling synthesis. The paper concludes by calling for greater openness and legitimacy for reflexive accounts, as well as further research into the process of discovery in qualitative research.
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.
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 | 0.147 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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