Bibliographic record
Abstract
The market for bottled water is growing and increasingly segmented. How do we explain not just the willingness to pay for a substance (water) that is almost free but also the increasing discernment in a drink generally considered tasteless? We argue that bottled water market segmentation is a leading edge of processes of water commodification, associated with the crisis of Fordism and rise of consumerist capitalism, where the assertion of status through commodity consumption is increasingly necessary. The extensive Ray’s & Stark water menu is analyzed to show how the taste for bottled waters is cultivated. In the menu, references to gustatory sensation are limited. Instead, the tastefulness of water inheres in the distance from anthropogenic influence, made visible through scientific (geological) discourses. The tension between the desire to consume unmediated nature and the scientific abstraction necessary to recognize it reveals the social character of the taste for bottled waters. The highly refined sense of taste that the water menu’s readers are presumed to have is a reflection of consumerist capitalism’s distinctive ways of reproducing socio-economic inequality and metabolizing non-human nature.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".