The role of joint dynamics in the evolution of alternative market categories. A sociohistorical approach to independent music
Bibliographic record
Abstract
This paper contributes to the understanding of market categorisation processes.More specifically, it analyses the evolution of the independent music category, characterised as a fuzzy category by its instability and as an alternative category by its power relations with the dominant mainstream music category.Based on a sociohistorical approach, we show how external forces such as boundary reconfigurations on the one hand and internal forces such as tension around category representations on the other shape the definition and evolution of the independent music market category.Our findings show the joint action of these dynamics in the emergence and evolution of alternative categories.They highlight the interest of simultaneously examining these multiple dynamics and their relationships in the study of market categories.Our paper also reveals the strategic and ideological issues associated with the alternative -mainstream dialectic, which constitutes a key factor in the structuring and evolution of many other industries.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.005 | 0.036 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".