Calling capital: call centre strategies in New Brunswick and New Zealand
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
This article compares government promoted call centre initiatives in New Zealand and New Brunswick, Canada, thereby identifying differing policies and practices associated with ‘globalization’. Both New Brunswick and New Zealand are small resource based economies in which policy makers aspire to attract foreign investment into call centres as a new means of economic growth and job creation. However there are significant differences between the two call centre strategies. In New Brunswick the provincial government plays a central role, most notably through the use of incentives to lure companies to the province but also through the coordination of education and training. In New Zealand an informal network made up of public and private sector actors drives the strategy, and the relevant government agency (Trade NZ) plays only a coordinating role. Despite these differences both call centre strategies aspire to link service sector activities into global flows and networks, and foster low wage and feminized forms of employment.
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