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Record W3186963881 · doi:10.1093/jos/ffab008

Causes and Expectations: On the Interpretation of the Tagalog Ability/Involuntary Action Form

2021· article· en· W3186963881 on OpenAlexaff
Luis Alonso‐Ovalle, Henrison Hsieh

Bibliographic record

VenueJournal of Semantics · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsMcGill University
Fundersnot available
KeywordsCircumstantial evidenceTagalogPresuppositionAction (physics)Event (particle physics)Interpretation (philosophy)LinguisticsSet (abstract data type)Computer sciencePsychologyPhilosophyHistory

Abstract

fetched live from OpenAlex

Abstract The Tagalog Ability/Involuntary Action (aia) verbal form conveys apparently unrelated modal meanings: that an action was within what an agent could do or that it was beyond what an agent could control, for instance. Recent analyses for the Malagasy and St’át’imcets counterparts of this form propose that this morphology contributes circumstantial modality and conveys, roughly, that the event described follows from a set of facts ( Davis et al., 2009; Paul et al., 2016). We discuss some challenges for extending this type of analysis to Tagalog and present an alternative proposal. We follow previous analyses in assuming that the aia form projects its domain of possibilities from a set of facts, but depart from these analyses by proposing (i) that the modal component of the Tagalog aia form is non-at-issue and (ii) that it conveys, via a presupposition, that this event was not expected given the facts that the described event is taken to causally depend on.

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)0.003
metaresearch head score (Gemma)0.008
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.012
Scholarly communication0.0050.009
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.039
GPT teacher head0.263
Teacher spread0.224 · 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

Citations18
Published2021
Admission routes1
Has abstractyes

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