MétaCan
Menu
Back to cohort
Record W7056805187

'Hamilton' singer botches Canadian national anthem

2017· other· en· W7056805187 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternet Archive (Internet Archive) · 2017
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsAnthemNational guardLuckMuralLeaguePerforming artsNational identityClosing (real estate)
DOInot available

Abstract

fetched live from OpenAlex

Amber Iman -- who's been cast in the upcoming national tour of 'Hamilton' -- sang Canada's national anthem before Sunday's Toronto Raptors' game in Brooklyn against the Nets. More like 'O No, Canada' after a Broadway performer botched the country's national anthem.Amber Iman -- who's been cast in the upcoming national tour of 'Hamilton' -- sang Canada's national anthem before Sunday's Toronto Raptors' game in Brooklyn against the Nets.The closing line of the song is "O Canada, we stand on guard for thee..."But she sang, "O Canada, we sing our hearts for thee."Toronto players and coaches looked confused by the goof...Raptors All-Star Kyle Lowry says Iman has a beautiful voice but jokes they can arrange for some lessons if she ever visit Toronto.It turns out Iman was using a teleprompter that delivered the wrong lyrics.The Nets have apologized to the singer...But the flub may have been the Raptors' good luck charm... Toronto went on to beat Brooklyn 103-95.

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 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 score0.434
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.017
GPT teacher head0.230
Teacher spread0.213 · 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