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Record W3173112885 · doi:10.5281/zenodo.5018715

Morfología verbal en el k'iche' colonial y moderno

2021· article· es· W3173112885 on OpenAlexaff
Pedro Mateo Pedro, Candelaria López Ixcoy

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesColonialismArtHistoryArchaeology

Abstract

fetched live from OpenAlex

El presente estudio es una comparación de la morfología verbal del k’iche’ colonial y el k’iche’ moderno, haciendo hincapié en cuatro fenómenos lingüísticos: nominalización, negación, irrealis y el uso de partículas. Los datos del k’iche’ colonial provienen de la <em>Theologia Indorum</em> de Fray Domingo de Vico, mientras que los datos del k’iche’ moderno provienen de Santa Cruz del Quiché, Quiché, Guatemala. Los resultados muestran que estos cuatro fenómenos lingüísticos que se observan en el predicado verbal presentan variación en ambas formas del k’iche’. En el k’iche’ moderno, por ejemplo, la nominalización de un predicado verbal ocurre como un proceso bastante claro ya que en muchos casos es introducido por una frase preposicional. En el k’iche’ colonial, la partícula <em>ma</em> se combina con otras partículas para marcar la negación. La forma <em>ma...taj</em> para marcar negación aparece en el k’iche’ colonial y en el k’iche’ moderno, pero en el k’iche’ moderno es la única forma que se usa para la negación. La forma <em>taj</em> varía a <em>ta</em>, según posición en una cláusula. En el k’iche’ moderno, el irrealis se marca con <em>we ta(j) ... ta(j)</em>. Y, en el k’iche’ colonial, se marca con <em>we, we ta</em> o solamente <em>taj</em>. En el k’iche’ moderno, la partícula <em>puch</em> varía a <em>pu</em>, según su posición en una cláusula.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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 score0.862
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0030.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0440.006

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 head0.031
GPT teacher head0.266
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
Published2021
Admission routes1
Has abstractyes

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