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Record W2549689854 · doi:10.1075/la.236.11riv

The Slovenian future auxiliary biti as a tenseless gradable evidential modal

2016· book-chapter· en· W2549689854 on OpenAlexaff
Marı́a Luisa Rivero, Milena Milojević Sheppard

Bibliographic record

VenueLinguistik aktuell · 2016
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsModalMathematicsChemistryPolymer chemistry

Abstract

fetched live from OpenAlex

Adopting a general perspective inspired by formal semantics -most prominently Kratzer’s ideas on modals-, this paper argues that the Slovenian future auxiliary biti may function as an epistemic modal with evidential characteristics. In its epistemic capacity, biti is a Zero-tense/tenseless modal anchored to Speech Time. In other words, it signals a deduction/concession made at Speech Time, or displays a so-called present ‘Temporal Perspective’. Biti does not define the time or ‘Temporal Orientation’ of the depicted event, which is defined by Viewpoint Aspect. Biti may depict present, past, future, or habitual events when it combines with Imperfective (IMPF) Viewpoint Aspect. When combined with Perfective (PERF) Viewpoint Aspect, biti necessarily depicts future events/ acquires a future ‘Temporal Orientation’. Biti is a gradable modal connected to either a scale of believability or a scale of desirability, both anchored in the speaker.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0030.004
Open science0.0000.002
Research integrity0.0010.002
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 head0.013
GPT teacher head0.213
Teacher spread0.201 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2016
Admission routes1
Has abstractyes

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