Teleworking effect on job burnout of higher education administrative personnel in the Junín Region, Peru
Bibliographic record
Abstract
This research aims to determine the effect of the adoption of teleworking on the development of job exhaustion of the higher education administrative staff in Junín during the crisis of COVID-19. The applied and correlational research was carried out with the participation of 300 administrative workers of higher education by applying a questionnaire of 40 questions. The results obtained show that having teleworking skills reduces emotional fatigue and depersonalization since the collaborator can self-regulate his behavior when faced with stressors. Likewise, these skills generate a positive effect on personal fulfillment, allowing the teleworker to achieve a satisfactory personal fulfillment of having said skills. On the other hand, telework conditions generate a hidden effect on emotional exhaustion, depersonali-zation and personal fulfillment; therefore, this dimension does not contribute to the reduction or increase of the mentioned dimensions. The work-life balance dimension does not generate any effect on any of the factors. It is concluded that the development of skills for teleworking is a relevant factor to achieve personal fulfillment in teleworkers, while teleworking conditions do not reduce job burnout.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".