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Record W7038056720

Guide to the Craig Noel collection

2019· article· en· W7038056720 on OpenAlexaff

Bibliographic record

VenueDigital USD (University of San Diego) · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsGlobeHonorListing (finance)DramaWeb siteData collection
DOInot available

Abstract

fetched live from OpenAlex

The collection contains the awards, documents, and photographs of Craig Noel. The bulk of the awards were presented to Noel in honor of his decades of contribution to San Diego's Old Globe Theatre. Awards also include Old Globe Atlas awards. Documents include tributes to Noel and to the Old Globe along with script books. Photographs include those taken during travel, actor photographs, photographs of Noel, and albums of the Shanghai Drama Institute, Shanghai People’s Art Theatre, and Shanghai Youth Drama Troupe. Finding Aids are tools used to aid research by describing the materials in a collection. Special Collections Finding Aids include historical and/or biographical information along with a description of the collection and a folder listing of the content. To view this collection please email University Archives and Special Collections staff at spcoll@sandiego.edu.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.386
Threshold uncertainty score0.875

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.006
Science and technology studies0.0050.001
Scholarly communication0.0060.005
Open science0.0030.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.3860.241

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 head0.006
GPT teacher head0.178
Teacher spread0.172 · 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.

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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