MétaCan
Menu
Back to cohort
Record W2579894277 · doi:10.1075/resla.29.2.08tar

Negative doubling in the Italo-Mexican community of Chipilo, Mexico

2016· article· en· W2579894277 on OpenAlex
Olga Tararova

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

VenueRevista Española de Lingüística Aplicada/Spanish Journal of Applied Linguistics · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicSpanish Linguistics and Language Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNegationRepetition (rhetorical device)PsychologyLinguisticsTask (project management)PreferencePhenomenonEthnic groupMexican americansMathematicsSociologyPhysicsStatisticsPhilosophy

Abstract

fetched live from OpenAlex

This study describes the phenomenon of negative doubling in Chipilo, Mexico. It has been hypothesized that Italo-Mexican bilinguals who speak Veneto (L1) and Spanish (L2) have transferred a second final no ( no fui no ‘I did not go NEG’) from their L1 into Spanish, a language that does not allow a repetition of the same negator in the postverbal position. This study analysed the data of 49 participants (Chipileños, mixed groups, and monolingual speakers) classified into two sex groups and four ethnicity groups, who performed a preference forced choice task and a repetition task. The results suggest a transfer effect from L1 to L2 in the bilinguals’ speech, specifically in the discourse of males. Second negative mention and verbs as previous constituents had a strong effect on elicitation of negation doubling.

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)0.003
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.013
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.260
Teacher spread0.231 · 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