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Record W7006174450

A temperá presenza militar romana (séculos II a.C. - I d.C.)

2021· article· gl· W7006174450 on OpenAlexaboutno aff

Bibliographic record

VenueGredos (University of Salamanca) · 2021
Typearticle
Languagegl
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Sequence (biology)CONQUESTDomain (mathematical analysis)
DOInot available

Abstract

fetched live from OpenAlex

[GA]Apresenza militar romana de época temperá (séculos II a.C. - I d.C.) na actual provincia de Ourense era ata hai pouco practicamente descoñecida. Os estudos sobre o exército romano nesta zona concentrábanse fundamentalmente no forte romano de Aquis Querquennis (Bande, Ourense), cuxa ocupación se data en torno ao último cuarto do século I d. C. e inicios do II d. C. (Rodríguez Colmenero & Ferrer Sierra 2006; Puente et al. 2018), nunha cronoloxía moi posterior á conquista romana do territorio galaico. Nos últimos anos, grazas ao incremento da dixitalización da arqueoloxía coa introdución de novas técnicas de teledetección, desde o noso colectivo de investigación, Romanarmy.eu, puidemos localizar un conxunto de novos sitios militares romanos de carácter temporal na provincia de Ourense (Figura 1) (Costa-García et al. 2017, 2019). Estes sitios caracterízanse por unha materialidade de escasa entidade e pola pouca expresión das súas estruturas sobre o terreo (Peralta Labrador 2002). Deste xeito, só foi posible identificalos a través do uso das técnicas de teledetección de recente desenvolvemento, coma o LiDAR aéreo (Costa-García & Fonte 2017), que permite recoñecer o terreo baixo as densas cubertas vexetais do Noroeste. De forma xenérica, estes recintos cobren un abanico temporal entre o século II a.C. e inicios do século I d.C., un período histórico para o cal apenas dispoñiamos de datos arqueolóxicos sobre a presenza militar romana

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.006
GPT teacher head0.201
Teacher spread0.196 · 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 designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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