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Record W390649122 · doi:10.5040/9798216401995

Nomenclature 4.0 for Museum Cataloging

2015· book· en· W390649122 on OpenAlexaboutno aff
Paul Bourcier, Ruby Rogers, Robert G. Chenhall

Bibliographic record

VenueRowman & Littlefield eBooks · 2015
Typebook
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsnot available
Fundersnot available
KeywordsCatalogingNomenclatureComputer scienceWorld Wide WebObject (grammar)Library scienceTask (project management)State (computer science)Taxonomy (biology)EngineeringArtificial intelligenceZoology

Abstract

fetched live from OpenAlex

<JATS1:p>Nomenclature 4.0 for Museum Cataloging is an updated and expanded edition of Robert G. Chenhall’s system for classifying human-made objects, originally published in 1978. The Chenhall system is the standard cataloging tool for thousands of museums and historical organizations across the United States and Canada. For this fourth edition, hundreds of new terms have been added, and every category, class, sub-class, and object term has been reviewed and revised as needed by a professional task force appointed by the American Association for State and Local History.</JATS1:p> <JATS1:p>This new edition features crucial revisions including:</JATS1:p> <JATS1:p>• A revised and updated users’ guide with new tips and advice • An expanded controlled vocabulary featuring nearly 950 new preferred terms • 475 more non-preferred terms in the index • An expanded and reorganized section on water transportation • Expanded coverage of exchange media, digital collections, electronic devices, archaeological and ethnographic objects, and more</JATS1:p> <JATS1:p>AASLH has developed a free online community for all users and potential users of Nomenclature 4. Click here to access the Nomenclature 4.0 online community .Use this site to learn about Nomenclature 4.0, to share news and ask advice, and to submit your own proposals for additions and changes for future editions.</JATS1:p>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.687
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.254
Teacher spread0.203 · 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 teacher head, 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
Published2015
Admission routes1
Has abstractyes

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