"Un autómata de fierro": máquinas de coser, ropa hecha y experiencias de trabajo en la ciudad de Buenos Aires en la segunda mitad del siglo xix
Bibliographic record
Abstract
Objective/context: This article explores different dimensions of the incorporation of sewing machines into the world of garment production in the city of Buenos Aires, Argentina. First, it situates their appearance within the framework of a set of novelties that marked urban life at that time. Secondly, it shows the modifications in the work experiences of men and women who were engaged in garment sewing jobs. Thirdly, it observes the initiative carried out by the Sociedad de Beneficencia, a state welfare institution led by women of the Buenos Aires elite, in the purchase and delivery of sewing machines to working women in the city at the end of the 1860s. Methodology: Applying the tools of social history from a gender perspective, an extensive corpus of documents is analyzed: comercial ads and yearbooks, statistical records, files from the documentary collection of the Sociedad de Beneficencia and population censuses. Originality: In addition to presenting the first historical reconstruction of the introduction of the sewing machine in the country, this article is a contribution to reflecting on how gender hierarchies influenced the division of labor in the industrialization of clothing manufacturing and the way in which technology reinforced this differential distribution of tasks in the city of Buenos Aires. In turn, inquiring into this process illuminates the peculiarities of the local experience; in particular, the innovative modalities of acquiring sewing machines on credit in the late 1860s and early 1870s. Conclusions: The presence of the sewing machine inaugurated new skills, remunerations, and labor arrangements. Following the journeys of some of the seamstresses who acquired them illuminates experiences of life, work and family in Buenos Aires during the second half of the nineteenth century.
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".