Bibliographic record
Abstract
To mark 40 volumes of Studies in symbolic interaction, this volume includes a special introduction from series editor, Norman K. Denzin. This 40th volume advances critical discourse on several fronts at the same time, including a report from the First contemporary ethnography across the disciplines hui, Waikato, New Zealand; New empirical studies by D. Coates, J. Johnson, D. Altheide, C. J. Schneider and D. Trotter, R. J. Berger, C. Corroto, J. Flad, and R. Quinney, and B. Jarrett (respectively): new religious movements, the California school of symbolic interaction, Terrorism and the national security university, the 2011 Vancouver Riot, The Terrains of Medical Diagnosis and Treatment, and mediation processes. In a separate section to highlight the diverse and challenging aspects of symbolic interactionism; Ryan Turner asks if animals have selves? Michael Katovich and Robert Young and Carol Thompson use Turners article as a springboard for insightful commentary on the selves of other animals and the selves of humans
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.105 | 0.049 |
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".