Impact of Work from Home Among Women Educators During Covid-19
Bibliographic record
Abstract
Objective: This study has focused on identifying the impact of work from home among women educators during COVID-19. Theoretical framework: COVID-19 had an array of impacts on businesses and individuals, and as a result of this, authorities even in the educational sectors, have implemented and developed the work-from-home concept, creating novel opportunities for women educators to manage their work daily, at the same time this approach had impacted them in managing two unique environments with different needs and schedules. Methods: Data collection has been done using the instrument called a structured questionnaire with a five-point Likert scale. The respondents were the women educators who worked from home, particularly during the global pandemic from the selected districts of Tamil Nadu namely, Vellore, Ranipet, Tirupattur and Tiruvannamalai. The data collected were analyzed using the SPSS Software (Version.25) by applying percentage and independent sample t-test analysis. Results and conclusion: The study's findings indicate that the majority of the women educators in the study experienced both positive and negative impacts while working from home during the pandemic. Research, practical & social implications: This study allows the higher educational institutional authorities to assist women educators in coping with their responsibilities while working from home by providing efficient training on the usage of digital tools. Originality/value: The article delves into an extensive discussion regarding the accuracy and ground reality of positive and negative impacts of work from home concept among women educators.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".