The Conflicts between Grounded Theory Requirements and Institutional Requirements for Scientific Research
Bibliographic record
Abstract
The authors examined the conflicts between grounded theory (GT) requirements and institutional requirements for scientific research such as they were experienced by researchers and students. The overview of how GT was originally conceived served as background to the analysis of the problems GT users often faced when they submitted research projects to academic or granting committees. Three especially contentious aspects that arose from the data were discussed: the circularity of the general research method, the suspension of references to theoretical frameworks, and theoretical sampling. Participants to this study have explored some possibilities to overcome those conflicts.
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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 | 0.698 | 0.708 |
| Meta-epidemiology (narrow) | 0.001 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.011 | 0.042 |
| Scholarly communication | 0.020 | 0.020 |
| Open science | 0.008 | 0.017 |
| Research integrity | 0.011 | 0.020 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".