Which Telework? Defining and Testing a Taxonomy of Technology-Mediated Work at a Distance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Telework has been the subject of study for longer than a quarter century, yet its causes and consequences are poorly understood. A key reason for this shortcoming is that scholars define and use the concept in many different ways. This article presents a taxonomy of telework, distinguishing among three distinct forms: fixed-site telework, mobile telework, and flexiwork. It then offers a series of research questions about the associations among these three types of telework and a variety of other factors. Using data collected in a national telephone survey of more than 1,200 U.S. computer-using workers, the authors empirically demonstrate that the three types of teleworkers are unique along key dimensions regarding their individual characteristics, organizational and technological contexts, and the impacts on their work.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it