Bibliographic record
Abstract
Using the example of the British fish and chip shop, I explore the socio-historical connections among culture, taste and organizations. Specifically, the British ‘chippie’ illustrates how cultural tastes affect our comprehension of organizations. In examining this occupation in depth, we see how the fish and chip shop reveals the ways class and cultural prejudices affect how an organization is perceived. Considering an organization’s history offers us a glimpse into how organizational tastes are shaped by broader social processes. Additionally, I explore taste and organizations through diverse theoretical lenses. First, the chippie constitutes an organizational example of Pierre Bourdieu’s contrast between taste as luxury and taste as necessity. Second, the work of Hannah Arendt highlights the intersubjective nature of taste, and its connection with judgement. Third, exploring taste with Antoine Hennion’s writings reveals the connection between practices and things. Examining taste through diverse theoretical lenses can thus open up productive lines of inquiry for taste and organizational studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".