GST Holiday Havoc, Dynamite T&T U.S. Launch and our guest Paul Jewer, President & CEO, High Liner Foods
Bibliographic record
Abstract
Our special guest on this episode is Paul Jewer, President & CEO of High Liner Foods, today celebrating its remarkable 125th anniversary. Paul shares insights into the company's journey, from its retail products across Canada and the U.S. to its extensive B2B operations serving restaurants and institutions. But first we begin with reflections on the release of Canada's Food Price Report, which sparked substantial media coverage despite being overshadowed by broader economic and political issues, including the proposed GST holiday. We delve into key developments in the U.S., including the Albertsons-Kroger merger, blocked by the FTC, and discuss its implications for market competition. We also examine the success of T & T's U.S. expansion, emphasizing how Canadian businesses can thrive internationally while maintaining their distinct identity.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.064 |
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; both teacher heads agree on what is shown here.
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".