An Empirical study of attitudes towards telecommuting among government finance professionals
Bibliographic record
Abstract
This paper presents the results of a preliminary study to evaluate attitudes towards telecommuting among finance employees who are employed by special district governments in the United States. Original data was collected by using a self-administered mail survey sent to 400 special district government finance employees who are members of the Government Finance Officers Association (GFOA) of the United States and Canada. This paper will examine variables including employee support for telecommuting, the likelihood of employees working away from the office, and the number of days employees wish to telecommute. A factor analysis was employed to determine if patterns of correlation within the set of observed attitudinal variables could be explained by underlying factors. The results revealed that four factors exist. These include how telecommuting impacts organizational attitudes, personal attitudes, job satisfaction, and the relationship between job stress and saving money. Two of the four factors are analyzed in this paper. Additionally, the impact of telecommuting on the inclination to leave an organization is examined.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".