Explaining stable accounting practices at the Mahou brewery, Madrid, 1890s to 1970s
Bibliographic record
Abstract
Given the generally ubiquitous practice of brewing, exploring accounting in breweries is useful to understand the evolution of accounting practices within firms over time. Breweries, many of which have survived for centuries, operate(d) in differing political, legal, professional and economic contexts, yet produce a relatively standardised product. A standard product but differing context may influence how accounting was practised within breweries over time, and some prior studies have adopted institutional concepts to explore the stability/change of brewery accounting. To date, much of the existing research is in an Anglo-Saxon context. This study contributes to a growing literature in other contexts by exploring Mahou, a Spanish brewer with the aim to examine how internal accounting practices were affected by a differing institutional context and the stability/change of these practices. The accounting records of Mahou reveal stable practices over the study period, despite change in its operating context. They also reveal an emphasis on meeting legal requirements, with less evidence of accounting information which may be useful for decision making. This conclusion is in apparent contrast to practices at other breweries of a similar period.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".