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Record W6996244391

Reparaciones de broches y fíbulas en la Península Ibérica (S. VII-VI A. C.): una práctica invasiva, imprecisa y deformadora

2022· book-chapter· es· W6996244391 on OpenAlexaboutno aff

Bibliographic record

VenueRepositorio Institucional de la Universidad de Alicante (Universidad de Alicante) · 2022
Typebook-chapter
Languagees
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPotteryMiddle AgesProspectionQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Este trabajo se ha realizado en el marco del Proyecto Ramón y Cajal RYC2018-024523-I; el Programa APOSTD2020 de la Generalitat Valenciana-FSE; el Proyecto del Ministerio de Ciencia, Innovación y Universidades HAR2017-87495-P, «Fenicios e indígenas en el Sureste de la península ibérica, Bronce Final y Hierro Antiguo entre el Vinalopó y el Segura«; y el proyecto de la Generalitat Valenciana AICO/2021/189, «Construyendo territorios entre el Bronce Final y el Ibérico Antiguo en los extremos de la Comunitat Valenciana (ConstrucTERR)».

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)0.000
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.082
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.003
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.002

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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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