Podcast - No pets, provincial meets federal, smart carts and the Grey Cup
Bibliographic record
Abstract
Hamilton City Hall might have to say goodbye to Mayor Eisenberger's dog Dash, after a debate by the city's audit, finance and administration committee lead to most of the eight councillors speaking out against the idea of a dog-friendly workplace. Instead, they voted 6-2 to ask staff to prepare a blanket \"no-pets policy\" for municipal facilities.Guest: Brad Clark, Ward 9 Councillor for the City of Hamilton.The Prime Minister of Canada and the Premier of Ontario are set to meet today. Doug Ford has positioned himself as a peacemaker of sorts, looking bring a sense of unity to Canadian politics. Prime Minister Trudeau shares these goals but, given the history between the two - and Trudeau's comments about Ford, on the campaign trail - what can we expect from today's meeting?Guest: Richard Brennan, retired journalist with the Toronto Star. Covered Queen's Park and Parliament Hill.Tired of using the self-checkout at grocery stores? Don't feel like talking to another human? Just don't have time for the lines? Then the new high-tech shopping carts being tested at one Sobeys in Oakville might be just what you want! The smart carts can scan their items on the spot, track their total bill and accept payment.Guest: Mathieu Lacoursiere, Sobeys Vice-President, Retail Support.One of the Ticats fans that has trekked out to Calgary is our very own Bill Kelly (hence Rick being your host.) We checked in with Bill. Guest: Bill Kelly, host of The Bill Kelly Show,
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.008 |
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".