Retos de percepción y obstáculos a la comunicación en el sector canadiense del petróleo y el gas
Bibliographic record
Abstract
This article aims to examine, through an analysis, the Perception challenges and Barriers to communication in the Canadian Oil and Gas Sector, the investigation was guided by a postpositivist, qualitative, documentary approach, with bibliographic design, including literary review to know the state of the art of the categories studied, as well as the collection of information obtained from the bases of data, scientific journals, degree projects, institutional repositories, as well as the identification of objectives. It was based on postulates of Liew (2022), Nelson, Quick, Armstrong, Roubecas, Condie, (2020), Thomas (2021), Wang (2021), among others. The findings demonstrate Individualism based on personal performance creates a synergy with the very low power distance level where management relies on its employees for their expertise and communicates the information freely and in a respectful manner. Also, Communication, contributes to diminishing the barriers by accomplishing corporate goals in the way leaders address it depending on the nature of their teams, and allowing them to decode the correct ideas and objectives according to their roles.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| 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".