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Record W7124685897 · doi:10.5281/zenodo.18298760

Guião para a adesão de um município à rede GBIF enquanto publicador de dados

2025· article· W7124685897 on OpenAlexaboutno aff
Nó Português do GBIF

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldComputer Science
TopicResearch Data Management Practices
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Process (computing)Field (mathematics)Context (archaeology)

Abstract

fetched live from OpenAlex

Este "Guião para a adesão de um município à rede GBIF" é um instrumento com que se pretende facilitar a integração das autarquias portuguesas na maior rede global de dados de biodiversidade, transformando-as em entidades publicadoras de dados. Reconhecendo a posição privilegiada dos municípios na gestão do território, o documento orienta a mobilização de dados valiosos provenientes de estudos de impacte ambiental, programas de monitorização e ações de ciência cidadã, que frequentemente se perdem por falta de normalização, preservação e acesso. Alinhado com metas internacionais como o Marco Global de Kunming-Montreal e a ENCNB 2030, o guião propõe um modelo de "prova de conceito" para demonstrar como a publicação de dados através do padrão Darwin Core reforça a transparência, evita a duplicação de custos em levantamentos de campo e consolida a reputação municipal na sustentabilidade. O processo é facilitado pelo Nó Português do GBIF, que assegura a infraestrutura tecnológica e formação necessária à publicação de dados pelos municípios.

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)0.010
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication, Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.851
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0060.001
Scholarly communication0.0420.021
Open science0.0170.024
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0070.006

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 head0.105
GPT teacher head0.340
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

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