Niveles De Motivación Y Las Competencias Laborales Específicas De Los Trabajadores A Distancia
Bibliographic record
Abstract
The aim of this study was to determine the relationship between motivation and specific job skills of teleworkers. The methodology was applied, descriptive and correlational. The study was hypothetical deductive, non experimental, transactional and quantitative. The sampling was non probabilistic by quotas, was included telecommuters from different companies that use this type of work, located in the interior of Mexico, USA and Canada. The sample size was 27 teleworkers. A questionnaire of 52 questions was used as a measuring tool. The data analysis was descriptive and chi square test was used to identify the relationship of the independent variable motivation with the dependent variable specific job skills of teleworkers. The main results showed that motivation is high and teleworkers have a high development in most of their job skills. Also among the most outstanding results it was found that the variable motivation in the three indicators analyzed: the need for existence, value and growth, have a closer relationship with labor competition autonomy, than the rest of labor skills analyzed.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".