El desarrollo de competencias digitales como alternativa para fortalecer el proceso de teletrabajo docente
Bibliographic record
Abstract
The objective of the research was to analyze the development of digital skills and their impact on \nthe implementation of teleworking for teachers of the "Tosagua" Fiscal Educational Unit located \nin the province of Manabí - Ecuador. The population of the institution is 50 teachers between 30 \nand 55 years of age, who are distributed for different areas such as basic general education, unified \ngeneral baccalaureate, and international baccalaureate. The study had a descriptive - qualitative \napproach, because an online survey was carried out through a questionnaire applied to a sample of \n41 teachers from the institution, in order to comply with the stated objective. It was evidenced that \napproximately a quarter of the teaching population does not use office tools for the development \nof teleworking, mainly due to ignorance about the use of this type of tools. However, they accept \nthe use of certain social networks for the respective organization of work, as these are commonly \nused by the majority of teachers, thus adapting to the great change that their new modality of work \nrepresents
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".