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Record W2900546581 · doi:10.1515/zrp-2018-0070

Principales rasgos gramaticales del español de Nicaragua

2018· article· en· W2900546581 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZeitschrift für romanische Philologie (ZrP) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAdjectiveAdverbLinguisticsVariety (cybernetics)NounGrammarSubject (documents)HistoryPsychologyComputer scienceArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Abstract This work offers an in-depth description of the main morphosyntactic features found in present Nicaraguan Spanish, a lesser known Central American variety despite being the subject of one of the pioneering dialectological studies on Spanish (Barreto 1893). With the help of text corpora and sociolinguistic surveys, an updated grammatical overview is provided, which takes into account most categories: nouns, adjectives, verbs, adverbs, prepositions and locutions (coordinators, subordinators, among others), and illustrates with examples taken from both formal and informal settings. By comparing these features with previous grammatical descriptions, this study helps in identifying some common American features ―such as the use of medio as an agreeing adjective instead of an adverb particle― as well as some specific patterns ―such as the prominence of ‑ udo /‑ uda and ‑ oso /‑ osa suffixes― in present-day Nicaraguan Spanish, some of which remain to be incorporated in the Academy grammar.

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.049
GPT teacher head0.309
Teacher spread0.260 · 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