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Record W591802744

Carnegie Institution of Washington notes on Middle American archaeology and ethnology, 1940-1957

2011· book· en· W591802744 on OpenAlexaboutno aff
John Weeks

Bibliographic record

VenueUniversity Press of Colorado eBooks · 2011
Typebook
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsnot available
Fundersnot available
KeywordsMayaEthnohistoryEpigraphyEthnographyHistoryAnthropologyInstitutionArchaeologyClassicsEthnologySociologySocial science
DOInot available

Abstract

fetched live from OpenAlex

third in a series of volumes intended to republish the primary data and interpretative studies produced by archaeologists and anthropologists in the Maya region under the umbrella of the Carnegie Institute of Washington's Division of Historical Research, The Carnegie Maya III makes available the series Notes on Middle American Archaeology and Ethnology. series began in 1940 as an outlet for information that may have been considered too unimportant, brief, or restricted to be submitted for formal publication. However, these notes are often of great interest to the specialists for whom they are designed and to whom their distribution is restricted. majority of the essays-most of which are on the Maya - are on archaeological subjects, epigraphy, ethnohistory and ethnography, and linguistics. As few original copies of the Notes series are known to exist in U.S. and Canadian libraries, the book makes these essays easily accessible to students, academics, and researchers in the field.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.127
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0030.003
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0420.013

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 head0.040
GPT teacher head0.193
Teacher spread0.153 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2011
Admission routes1
Has abstractyes

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