The Destruction of the "House": Changing Social Relations in a Restructured Factory
Bibliographic record
Abstract
This article explores the social changes within a dairy-products factory in Montevideo, Uruguay. Applying sociological research tools from ethnography and grounded theory, the data was collected through employment at the factory. My position as a temporary worker allowed me to interact with the many different individuals and social actors that made up the factory’s social universe. I observed major organizational shifts within the human resources department, such as the hiring of younger and more educated prospects for supervisory roles, as opposed to filling those positions with the older and more experienced workers. This shift towards “productive re-arrangement” was a consequence of the regional and commercial challenges which encouraged strategic changes to keep the company competitive. The most obvious and significant changes were found in the hiring process, when the factory began increasingly targeting temporary workers for employment. In this article, I argue that these changes were largely responsible for a new spirit and emotionality that began to emerge amongst the current working pool; one of uncertainty and mistrust. When the dairy factory altered its operating philosophy, so did its labourers. This study looks to capture the relations that developed between them.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.025 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".