Special: An interview with Robert Prus: His Career, Contributions, and Legacy as an Interactionist Ethnographer and Social Theorist
Bibliographic record
Abstract
I have used an extended, open-ended interview with Robert Prus as a means with which to consider his contributions to ethnographic research and social theory. Given the range of his scholarship, a fairly detailed listing of the topics covered in the interview is presented at the outset. In addition to (a) considering Robert Prus’s own career as a scholar, attention is given to (b) his involvements in symbolic interaction as a field of study, (c) ethnographic research as a mode of inquiry, (d) generic social processes as a realm of theorizing about the nature of human group life, and (e) some specific ethnographies on which he has worked as well as (f) his critiques of both positivist and postmodernist scholarship and (g) his involvements in tracing the development of pragmatist social thought from the classical Greek era to the present time and even more recent thoughts on (h) the sociology of Emile Durkheim and (i) public sociology.
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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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".