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Record W4297814745 · doi:10.1017/9789048552931.009

Romance Languages: Idioma Romániko

2022· other· en· W4297814745 on OpenAlexaboutno aff
Pieter Muysken, Hilda de Windt Ayoubi

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceArtLiteratureLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Several Romance languages are represented here:Catalan French, Spanish, Portuguese, and Italian.All originate in the Vulgar Latin of the lateRoman Empire; all have been very important in thecultural history of western Europe and continue tobe so today. It is immediately obvious that theyare closely related. The word for “hand”, forinstance, is má inCatalan, main inFrench, mano inSpanish and Italian, and mão in Portuguese. Though they stem fromLatin, they do not share many of the grammaticalcharacteristics of Latin, such as the Latin caseendings. Keywords: Cultural History, LiteraryHistory, (Vulgar) Latin, Literature, SecondLanguages Little need to introduce the French language here. It has lost quite a bit of its statusas a language of international communication, but itis spoken natively in most of France and parts ofBelgium, Luxemburg, Switzerland, and Canada. It isthe official language of 29 countries (also of someislands in the Caribbean, Guadeloupe, Haiti,Martinique, Saint Barthelemy, French Guiana andSaint-Martin), but in many of these it is primarilyused as a second language. This also means thatthere is much diversity in the way French is spoken,although presumably there is a single “standard” inFrench, corresponding to educated Parisian French.There has been a large literature in French sincethe early Middle Ages. In the Francophone countries,including countries in Africa, authors write andpublish in French. French does not have the sameflexibility as Spanish to change the grammaticalorder of the parts of the sentence. For instance, existent dans notre monde“ exist in our world” in the translationis the only order possible. France has theappearance now of a fairly monolingual country, butin earlier times, before the French Revolution andNapoleon in particular, the country was much moremultilingual. In the north there was a Dutchspeaking region, the Breton speaking area was muchlarger, in the southwest there was Gascon andBasque, in the south Provencal was widely spoken,and in the east Alsatian German was spoken. Inaddition, there were many dialects. Catalan, catala or llengua catalana is aWestern Romance language derived from VulgarLatin.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.627
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.6280.001

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 head0.014
GPT teacher head0.234
Teacher spread0.219 · 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
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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