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Record W6926821103 · doi:10.25549/examiner-m1876

Beach Club; society, 1951

2013· dataset· en· W6926821103 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Southern California Digital Library · 2013
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial metabolism and enzyme function
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)Performance artWright

Abstract

fetched live from OpenAlex

16 images. Beach Club; society, May 13, 1951. Sara Burnaby; Babs Redder; Marie Casey; Pat Gregson; Jane Hurndall; Gwen Ely; Barbara Von Briesen; Tony Wilson; Mary Sturdy; Sandra Kriehn; John Keith; Mr. and Mrs. Robert H. Porter; Dana Porter, 3; Len Ploeser; Mrs. Robert Bundy, Jr. and Mr.; Mr. and Mrs. Matt Shelvin; Mr. and Mrs. Edwin Major; Bill Keller; Pat McCormick; Steve Keller; Eric Jensen; Bob McCullock; Suzie Rice; Mrs. Lawrence Barker; Carol Barker, 5; Betty Barker, 2; Mrs. Charles Hart; Cynthia Hart, 5; Mrs. Shull Bonsall; Janer Barker, 4; Mr. and Mrs. E. F. Sheridan; Scott Sheridan, 3; Diane Sheridan; Larry Hart, 3.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.183
Threshold uncertainty score0.611

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.010
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1830.220

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 head0.150
Teacher spread0.145 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

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