Mobilidade da força de trabalho: os impactos de intensos deslocamentos geográficos sob a ótica de trabalhadores docentes
Bibliographic record
Abstract
The work occupies a definite place in the lives of individuals, this rich sense of individual and social, is a means of producing life of each one to provide subsistence, existential senses create or contribute to the structuring of identity and subjectivity. The current status of adoption and use of Information and Communication Technologies by organizations and individuals, showed an increase of the incorporation of technological devices that have the potential to change the spatial and temporal characteristics of the work, increasing worker mobility. Considering the fact that the individual to move, while moving through space, remodeling or attach your personal identity, professional, cultural, social or political from the mobility, the ultimate goal of this research was to reflect on that how the positive and negative impacts generated by the intense geographic mobility demanded by the profession, teachers are perceived by workers of a post-graduation courses in Business Administration moving from one territory to another (s), in order to exercise their teaching activities. Was performed for both a literature review concerning the meaning of work, presenting the following are some reflections on the changes in labor relations as a result of mutations in the workplace, addressing, finally, the theme Mobility of the workforce. After this step, we sought to understand the perspective of teaching workers through personal interviews analyzed in the light of the method of content analysis, the paths taken by them and meanings attributed to these experiences, seeking to understand how teaching workers highlighted represent the look on himself and others, to show the significance (positive and negative) of spatial mobility, daily practices and strategies of socialization and interaction with, and at the destination. It can be concluded that, although there are some factors that can make the constant spatial displacement of these workers a negative element to them, since they are sources of high demand physical and mental, of stress, overload, emotional stress, fatigue, anxiety, discouragement, frustration and dissatisfaction with the work, leading them to the constant removal of the social context and may result in serious consequences for the health of the worker. These constant shifts geographical become, however, a positive element, since the increase to allow their teaching practices through the experiences enriched by contacts, by learning acquired and the skills acquired in multicultural relationships, becoming space for self-fulfillment, social inclusion and recognition, prestige, status and sense of usefulness.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".