Putting employers to work in economic development in the Atlantic provinces of Canada
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
The Atlantic provinces of Canada – New Brunswick, Nova Scotia, Prince Edward Island and Newfoundland and Labrador – face persistent social and economic challenges, including low labour productivity, high levels of public debt and a declining workforce. There are persistent issues of low wages and high levels of underemployment and seasonal/part-time work. The policy responses proposed to tackle these challenges have focused on innovation clusters in science and technology fields, the attraction and retention of skills and unskilled immigrants to the region, and some upskilling of the local workforce. Absent is a consideration of the role of employers and businesses, and the quality of jobs available in addressing these challenges. Decent jobs have implications for individual, societal and organizational outcomes, including innovative work behaviours. This article argues that there is a need to consider job quality and how good quality jobs can support organizational and business innovation outcomes, as part of these policy debates for local economic development.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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