Cultura y movilidad de migrantes Latinoamericanos en puestos de TIC, caso: Montreal, Canadá
Bibliographic record
Abstract
The main objective of this study is to understand how the learning of the Quebecois management culture can foster or hinder the inter- or intraorganizational mobility of the Latin American immigrant in positions of lnformation and Communications Technologies (ICT) in the City of Montreal. The importance of this type of position is due· to the dynamics and growth of ICT in Ganada and in the province of Quebec. This research specifically seeks: a) to understand the perception, meaning and reinterpretation (or transformation) the Latin American immigrant with a bachelor's or technical degree gives to certain cultural orientations and their impact on mobility; b) to identify whether or not training, particularly coaching or mentor programs in which the immigrant participates, can foster such learning, as well as their possible impact on organizational mobility. In this study, the Quebecois management culture is reflected in the workplace culture of the enterprises (organizational cultures) where the immigrant works. The cultural orientations studied are: autonomy, communication, consensus for avoiding conflicts, equal opportunities and distance regarding the hierarchy. In accordance with this perspective, the qualitative methodology was chosen because this approach permits individual perceptions regarding a phenomenon. included are the methods of phenomenology and a history of the immigrant's lite. Both allow for the observation and understanding of the interaction between different factors affecting mobility; in accordance with the subjectivity of the experiences of the subjects related to the phenomenon of his/her own organizational mobility, as well as showing the cultural subtleties and adjustments the immigrant makes given the cultural differences between the culture of Quebecois management and the Latin American cultural background that the participants in this study bring with them.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".