MétaCan
Menu
Back to cohort
Record W7103591026

Football Bust-88

2011· other· W7103591026 on OpenAlexaboutno aff

Bibliographic record

VenueDeep Blue (University of Michigan) · 2011
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFootballChampionshipPleasureFace (sociological concept)Quarter (Canadian coin)Evening
DOInot available

Abstract

fetched live from OpenAlex

Football BustIt is a great pleasure this evening to convey on behalf of the University of Michigan our congratulations to the Michigan Football Team, for your Big Ten Championship.This was an incredible season... Starting off with spectacular, if frustrating, efforts against Notre Dame and Miami, now the number 1 and number 2 teams in the nation... Bouncing back to win the Big Ten championship in the face of injury after injury...And what can I say about your game down in Columbus... that gutsy performance late in the fourth quarter is what Michigan football is all about!!!And now the Rose Bowl!!!Return to Pasadena... May amuse you to know that Bo and I came to Michigan the same year...in 1969... Bo came from Ohio...I came from Pasadena... Actually, I thought at first there must have been some confusion... and our roles were accidently switched...I was supposed to be football coach...and Bo was supposed to be a professor of nuclear engineering!After all, what school has played more games in the Rose Bowl than any

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0040.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1470.136

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 head0.013
GPT teacher head0.168
Teacher spread0.155 · 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 designQualitative
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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueDeep Blue (University of Michigan)French-language works237,207