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Record W2913568696 · doi:10.14351/0831-4985-31.1.34

Moving and Transforming Care of One of the Largest Southwest Archaeological Collections: The Museum of Indian Arts and Culture's Move to the Center for New Mexico Archaeology

2017· article· en· W2913568696 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCollection Forum · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
FundersInstitute of Museum and Library Services
KeywordsArchaeologyThe artsState (computer science)HistoryCenter (category theory)GeographyVisual artsArtComputer science

Abstract

fetched live from OpenAlex

Abstract After over two decades of planning and five years of conserving, packing, and moving, the Museum of Indian Arts and Culture has finished the first two phases of the largest move of archaeological artifacts in the museum's history and quite possibly in the American Southwest. Framed within the historical background of evolving collection storage over many decades, the Archaeological Research Collections were moved from the Laboratory of Anthropology and another off-site storage location to a new state of the art off-site facility at the Center for New Mexico Archaeology (CNMA). Decisions that eased the overall move, including issues resulting from the move and how they were remedied, are discussed. Overall, this particular collections move demonstrates the capabilities that a small staff can have if given enough time, volunteers, and grant resources.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.243
Teacher spread0.213 · 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