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Record W2119373100 · doi:10.14198/elua2004.18.06

El proceso de informatización de los diccionarios valencianos anteriores al siglo XX: el Diccionario valenciano-castellano (1887) de Constantí Llombart

2004· article· en· W2119373100 on OpenAlexaff
M. Isabel Guardiola i Savall, Antonio Fernández Varó, Anna Francés Díez, Maria Guerola Gironés

Bibliographic record

VenueELUA Estudios de Lingüística Universidad de Alicante · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsCommunications Security Establishment
Fundersnot available
KeywordsValencianCatalanPhilologyLexicographical orderHumanitiesComputer scienceLibrary scienceArtSociologyMathematicsCombinatorics

Abstract

fetched live from OpenAlex

In this article we describe the steps that were taken for the preparation of the Tresor lexicogràfic valencià (Valencian Lexicographical Thesaurus). This work aims to bring together all lexicographical data from the Valencian Dictionaries from the XVIth to the beginning of the XXth century. The first phase of this project has been completed and it includes all works between 1543 and 1880. In addition to the progressive incorporation of works to this first database, works that are still expected to be found among the collections of public or private libraries, this Thesaurus will include the two extensive Valencian collections of the XIXth century: Constantí Llombart (1887) and Martí i Gadea's work (1891). Due to the extensive content of these works, an individual and organized treatment of the information is necessary in order to proceed with their final inclusion. Recently, a research team of the Catalan Philology Department of the University of Alicante carried out the computerization of Llombart's Dictionary, and the team also expressed the wish to include their work in the other documents as well as submit Martí i Gadea's work to the same computerization process.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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
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

Citations0
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueELUA Estudios de Lingüística Universidad de AlicanteSame topicSpanish Linguistics and Language StudiesFrench-language works237,207