Editorial
Bibliographic record
Abstract
Silva 1 O 15.º número da revista MIDAS constitui um número aberto ("Varia"), sendo o resultado da diversidade das propostas recebidas e do crivo da revisão por pares.Uma diversidade que reflete a cada vez maior pluralidade e complexidade dos objetos de estudo e reflexão da museologia e dos campos de ação dos museus. 2 A secção principal deste número abre com o artigo de Pedro da Silva (Universidade de Coimbra) e Inês Moreira (Universidade do Minho), intitulado «Curadoria em Arte/ Arqueologia: Processos de Proto e Pós-escavação», que aborda a relação entre arqueologia e arte contemporânea.A partir da análise de exemplos de criação artística contemporânea portuguesa, os autores defendem que a curadoria em arte/arqueologia é fundamental para o questionamento da definição de "artefacto arqueológico". 3
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.074 | 0.059 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".