It’s all in the mix: Determinants and consequences of workforce blending in call centres
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
Supplementing the full-time permanent workforce with part-time staff is a widespread practice among firms. To better understand this dynamic, we evaluate how work organization choices influence the degree of part-time use by analysing North American survey data from call centre establishments. We also evaluate the effect of part-time use on the voluntary turnover behaviour of the full-time permanent workforce. For example, firms with greater reliance on a high involvement approach to work organization relied less on part-time use than those pursuing a low involvement approach. For firms that choose to rely heavily on part-time use, we find that this decision has consequences for their full-time permanent workforce, namely higher voluntary turnover among their full-time permanent staff. Interestingly, greater reliance on a high involvement approach appears to weaken the positive relationship between part-time use and voluntary turnover among the full-time employees.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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