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Record W7061541083

Podcast - Changes to public health and child care in Ontario, China tells Canada to stop meddling, Climate change may be 'partisan'

2019· other· en· W7061541083 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2019
Typeother
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)ChinaPoliticsClimate changeProduct (mathematics)Public healthChild careHealth careStatement (logic)
DOInot available

Abstract

fetched live from OpenAlex

Ward 12 Hamilton City Councillor Lloyd Ferguson joined Bill to discuss Ontario Premier Doug Ford's announcement regarding cuts to public health and child care at a gathering of municipal leaders in Ottawa.Guest: Lloyd Ferguson, City Councillor, Ward 12, City of Hamilton. Call 905-546-2704 905.973.1359-Hundreds of thousands of anti-government protesters took part in a peaceful protest in Hong Kong on Sunday, for the 11th week of what have been often violent demonstrations. Meanwhile, China's embassy in Ottawa told Canada to stop meddling in Hong Kong affairs the day after a joint statement with the European Union was issued, defending the \"fundamental right of assembly\" for Hong Kong citizens.Guest: Charles Burton, associate professor, Department of Political Science, Brock University.-As of 2025, Ontario's Blue Box program will be the responsibility of product manufacturers, not the province. The Ontario government says this will reduce waste and save millions for municipalities. Is switching more responsibility over to manufacturers a change that makes sense in the long run?And Elections Canada has warned environmental groups that discussing climate change may be a 'partisan' issue. This could have serious consequences for environmental groups.Guest: Keith Brooks, our Campaign Director for Environmental Defence

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.324
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.015
GPT teacher head0.228
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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