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Record W7006511926

Undergraduate Bulletin 2001-2003

2001· other· en· W7006511926 on OpenAlexfundno aff

Bibliographic record

VenueCUNY Academic Works (City University of New York) · 2001
Typeother
Languageen
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsnot available
FundersUniversity of California, Los AngelesNorthwestern UniversityUniversity of MissouriYork UniversityBarnard CollegeQueens College, City University of New YorkJohn Jay College of Criminal JusticeUniversity of OregonRutgers, The State University of New JerseyUniversity of California, IrvineGeorgetown UniversityJohns Hopkins UniversityTulane UniversityState University of New YorkUniversity at AlbanyHarvard UniversityUniversity of SurreyU.S. Department of the TreasuryNew York State Department of Environmental ConservationCity University of New YorkUniversity of Southern CaliforniaNational and Kapodistrian University of AthensGoa UniversityYale UniversityNational Technical University of AthensGeorge Washington UniversityUniversity of PennsylvaniaWilliams CollegeNew York State Education DepartmentU.S. Department of Homeland Security
KeywordsWork (physics)Subject (documents)Identification (biology)Focus (optics)
DOInot available

Abstract

fetched live from OpenAlex

Covers academic years 1998/1999 & 1999/2000

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)0.001
metaresearch head score (Gemma)0.006
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 score0.368
Threshold uncertainty score0.901

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.004
Science and technology studies0.0020.000
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3680.274

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 head0.062
GPT teacher head0.322
Teacher spread0.260 · 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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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