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Record W2778277597 · doi:10.5565/rev/tda.59

Els espais altimontans pirenaics orientals a l’Antiguitat: 10 anys d’estudis en arqueologia del paisatge del GIAP-ICAC

2017· article· ca· W2778277597 on OpenAlexaff
Josep Maria Palet, Arnau Garcia Molsosa, Héctor A. Orengo Romeu, Tania Polonio Alamino

Bibliographic record

VenueTreballs d Arqueologia · 2017
Typearticle
Languageca
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsArthur B. McDonald-Canadian Astroparticle Physics Research Institute
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

En aquest treball s’ofereix una panoràmica dels estudis realitzats pel Grup d’Investigació en Arqueologia del Paisatge (GIAP) als espais altimontans pirenaics orientals en els darrers 10 anys. Des d’un enfocament multidisciplinari en el marc de l’arqueologia del paisatge, els resultats obtinguts permeten trencar amb la visió tradicional d’aquestes àrees muntanyenques a l’Antiguitat, mostrant la seva intensa explotació i una forta antropització que ja comença en el període Neolític.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0080.009
Scholarly communication0.0090.004
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.277
Teacher spread0.226 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations21
Published2017
Admission routes1
Has abstractyes

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