Para além dos saberes epistêmicos: a dramática do uso do corpo-si nos processos de certificação/formação dos trabalhadores de uma indústria multinacional de extração e processamento de minério de ferro.
Bibliographic record
Abstract
It is a study that seeks to analyze the education practices in the work context that make up the basic certification processes of technical / operational workers of an iron ore extraction and processing industry in Brazil. We present the following specific objectives: a) To analyze how the basic certification processes of mining workers are constituted; b) Analyze how the dramatic use of the 'body-self' constitutes the activity and becomes a source of training for the worker; c) To investigate in what ways the singularization of the experience that constitutes the knowledge of the mining activity of this industry can become transforming for the worker; d) To intervene in the institutional strategies in relation to the potentialization of the practices of formation through the singularization of the experience and the reappropriation of the historical knowledge by the worker; e) To analyze collectively the processes of recognition of historical knowledge, by the areas of education of companies, affirming as powerful forces in the formation of the worker and in the generation of health; f) To produce strategies of intervention in the formative practices that compose the certification processes that will favor the intersection of the epistemic knowledge with the historical knowledge of the worker. As a methodological proposal, we performed the analysis of the activity, from the perspectives and principles of Ergology in its compositions with the clues of the method of cartographic research. The production of data was performed with workers in technical-operational functions, crowded in the port area, and their respective managers, in addition to the manager of the certification processes. For this work, we use as technique the performance of data confrontation with the workers. The analysis of the data showed us that there is an inseparability work / life. Epistemic knowledge can not respond in isolation to the "training" of workers in the context of work. We can affirm the importance of the incessant dialogue between the epistemic knowledge and the knowledge invested in the activity as a source of health production and recognition of the knowledge of the workers. In this way, the study leads us to reflect on the actions developed by the Human Resources and Training and Development departments regarding the formative processes within the industries, as well as on the need for ethicopolitical repositioning that considers the complexity of the training of the workers.
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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 | 0.010 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".