MétaCan
Menu
Back to cohort
Record W6945426294 · doi:10.25549/examiner-m12878

Pro football -- Los Angeles Rams vs. Washington, 1960

2013· dataset· en· W6945426294 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Southern California Digital Library · 2013
Typedataset
Languageen
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
Fundersnot available
KeywordsYardFootballQuarter (Canadian coin)Slip (aerodynamics)

Abstract

fetched live from OpenAlex

19 images. Pro football -- Los Angeles Rams vs. Washington, 19 August 1960.; Caption slip reads: "Photographer: Rustan. Date: 1960-08-19. Assignment: Rams -- Redskins. First quarter. 53: 33 rams short gain. 54: 33 Rams returns ball 56 yards. 55: 5 yard line puts rams back 5. 62: 1st Rams field goal. 27: Washington 19 pass to 81 complete. 28: Washington 81 received pass. Second quarter -- 49: Washington 20 down to 1 yard line. 50: Washington stopped on 2 ft. line. 82: Washington scores TD. 45: 20 Washington injured on kick off play. 46: Ram Field Goal N.G. 51: 42 Washington over for 2nd T.D. Develop 7 minutes. 3rd quarter: 91: 3 Rams field goal. 4th quarter: 92: Villanouva, Rams, kicks long field goal (46 yards). This was his 4th for evening".; Additional caption slip reads: "Photographer: Jensen. Date: 1960-08-19. Assignment: Rams vs. Redskins. 1 quarter. 68: 33 Rams returns 1st kickoff to 27 yd. line. 69: Arnett catches pass on 37 yard line. Made 21 yards. 98: 10 Rams pulled down by 86 Washington on 4 yard line. 99: 1st Rams score field goal from 8 yard line. 102: 20 Washington takes pass hit on 3 yard line by 57 and 76 Rams, 1st down".

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), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0040.022
Open science0.0070.006
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.011

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 head0.023
GPT teacher head0.213
Teacher spread0.189 · 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
GenreDataset

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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Southern California Digital LibrarySame topicResearch Data Management PracticesFrench-language works237,207