Contributions from European Symbolic Interactionists: Reflections on Methods
Bibliographic record
Abstract
The papers in this volume were presented in at the third conference of the European society for the study of symbolic interaction (SSSI). The theme of the 2012 conference was "Conflict, cooperation and transformation in everyday life. The fifteen papers presented across this volume and volume 45 cover a diverse range of topics, which are divided into two main categories: "Reflections on Methods" and "Conflict and Cooperation", this volume focuses on the former. The central issue of the first four papers is how we navigate our emotional, analytical and political selves in the social worlds that we study. How do we relate to those we observe and interview? How do we deal with issues of power, suffering and politics? The following three papers provide a critical analysis of Geertz' 'Thick Description', perspectives on obesity in modern society and an analysis of the relationship between police officers and licensed marijuana coffee shop owners in Rotterdam. Contributing authors to this volume and the next come from Belgium, Canada, Sweden, the US, the Netherlands and Germany, suggesting the thriving diversity of European SSSI in terms of its research themes and methods
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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 | 0.094 | 0.061 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.016 | 0.042 |
| Scholarly communication | 0.029 | 0.027 |
| Open science | 0.003 | 0.021 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.013 | 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".