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Record W7052327201

Queen jokes with Canada's PM after toast

2015· other· en· W7052327201 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2015
Typeother
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsQueen (butterfly)CommonwealthMajestyPrime ministerHead (geology)State (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Queen jokes about age in viral toast The newest leader in the British Commonwealth intended his toast to salute Queen Elizabeth but her majesty focused less on the compliment and more on the reference to her age. Canada's new prime minister Justin Trudeau delivered the toast at the Commonwealth Heads of State Meeting in Malta. \As the Commonwealthâs newest head of government, I am honoured to offer toast to Your Majesty, Head of the Commonwealth and Queen of Canada. In so doing, I am deeply mindful of Your Majestyâs long and tireless service to the Commonwealth and its citizens.\ The queen who's nearing her 90th birthday had this cheeky reply to Trudeauâs toast. âThank you, Mr. Prime Minister of Canada, for making me feel so old!â Later in the evening when the Queen gave her own toast, she referred to Trudeau as the youngest leader in the Commonwealth. Actually, Prime Minister of Malta Joseph Muscat is the youngest at 41. Trudeau is 43. From the Rivet World Desk, I'm Nigel Williams on Rivet.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.429
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.005
GPT teacher head0.185
Teacher spread0.180 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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