MétaCan
Menu
Back to cohort
Record W7134488693

Art 2019 APR Self-Study & Documents

2019· article· W7134488693 on OpenAlexfundno aff
University of New Mexico

Bibliographic record

VenueUNM’s Digital Repository (University of New Mexico) · 2019
Typearticle
Language
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsnot available
FundersPontificia Universidad Católica del PerúPeking UniversityHaverford CollegeUniversity of OxfordUniversity of ReginaUniversity of CincinnatiUniversity of PittsburghCalifornia State Polytechnic University, PomonaHarvard UniversityUniversity of OklahomaUniversity of MiamiMassachusetts Institute of TechnologyUniversity of California, Los AngelesSorbonne UniversitéWellesley CollegeDumbarton Oaks Research Library and CollectionRice UniversitySmithsonian Institution
KeywordsDocumentationContext (archaeology)Feature (linguistics)Presentation (obstetrics)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

UNM Department of Art APR self-study report and review team report for Fall 2019, fulfilling requirements of the Higher Learning Commission.

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)0.022
metaresearch head score (Gemma)0.086
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 score0.876

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.086
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.003
Science and technology studies0.0050.001
Scholarly communication0.0100.002
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.3860.337

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 head0.009
GPT teacher head0.187
Teacher spread0.178 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueUNM’s Digital Repository (University of New Mexico)Same topicArt, Technology, and CultureFrench-language works237,207