(Re)Grounding grounded theory: a close reading of theory in four schools
Bibliographic record
Abstract
The debate over what counts as theory has dominated methodological conversations in grounded theory research for decades. Four of the schools of thought in that debate – Glaserian, Straussian, Charmazian, and Clarkeian – hold different assumptions about what theory is and how it is made. The first two schools understand theory as an abstraction that exactingly accounts for exceptions. The second two schools understand theory as a process of describing voices hidden from public view. While Glaserian and Straussian coding processes focus on coding exceptions, Charmazian and Clarkeian coding processes focus on building a story of the participants or social phenomenon. This article attempts to clarify the goals of the schools in an effort to overcome the debate about which kinds of research count as grounded theory and which do not.
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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 | 0.078 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.013 | 0.010 |
| Science and technology studies | 0.015 | 0.096 |
| Scholarly communication | 0.029 | 0.026 |
| Open science | 0.005 | 0.013 |
| Research integrity | 0.011 | 0.018 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".