Growing the Virtual Workplace: The Integrative Value Proposition for Telework
Bibliographic record
Abstract
Employees, organizations and society alike should grow the virtual workplace, the authors argue, as the multiple, tangible benefits of telework for each of these three stakeholders largely outweigh the costs. To help stakeholders benefit from the virtual workplace they analyze four key issues: telework adoption, implementation, tracking and impacts. The authors develop the comprehensive EOS framework to examine both the interaction among employees, organizations and society, and the linkages among telework impacts, tracking, implementation and adoption.Unique features of the book include an integrative framework for increasing telework adoption; practical tips - specific to each stakeholder - on how best to implement and measure telework; and an analysis of original survey data exploring the virtual workplace adoption decision. Readership for this book includes academic experts on telecommuting, policymakers involved in transportation, human resource or environmental policies, and managers and employees considering telework.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".