Studies in symbolic interaction
Bibliographic record
Abstract
Citation (2010), "Studies in symbolic interaction", Denzin, N.K. (Ed.) Studies in Symbolic Interaction (Studies in Symbolic Interaction, Vol. 35), Emerald Group Publishing Limited, Leeds, p. iii. https://doi.org/10.1108/S0163-2396(2010)0000035026 Publisher: Emerald Group Publishing Limited Copyright © 2010, Emerald Group Publishing Limited Book Chapters Studies in symbolic interaction Studies in symbolic interaction Copyright page List of contributors Introduction: The impact of popular music on symbolic interaction Introduction: Music and identity The group ethic in the improvising jazz ensemble: a symbolic interactionist analysis of music, identity, and social context Established Latino music scenes: Sense of place and the challenge of authenticity Authenticating identity work: Accounts of underground country musicians Introduction: Spaces of musical interaction: Scenes, subcultures, and communities Brutal belonging in Melbourne's grindcore scene Musical genre as a gendered process: Authenticity in extreme metal Digging a river downstream: Producing emergence in music Teaching the art of playing with career-coupling relationships in the virtuoso world Introduction: Music in (inter)action Noise in action: the sonic (de)construction of art worlds Driving to the beat of one's own hum: automobility and musical listening Music, symbolic interaction, and study abroad Grandmamma, what great ears you have! (Cross-generational musical interaction and the discovery of silence) Becoming “yellow” Subculture and myth: the case of Robert Johnson in the 1920s–1930s US South Leroy and me Competing with her mother-in-law: the intersection of control management and emotion management in sport families The futureless past G. H. Mead's intimations of dialogue and narrative in social becoming with others
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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".