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Record W3038742213 · doi:10.1075/cilt.351.04gho

The additive particle in Persian

2020· book-chapter· en· W3038742213 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

VenueAmsterdam studies in the theory and history of linguistic science. Series 4, Current issues in linguistic theory · 2020
Typebook-chapter
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPersianParticle (ecology)PhilosophyLinguisticsGeologyOceanography

Abstract

fetched live from OpenAlex

Abstract This chapter discusses the syntactic and semantic properties of the additive marker -am in Persian. I show that -am exhibits positional variability, is polysemous in meaning, and does not always contribute meaning that affects the truth conditions of the sentence. On the basis of this I classify - am as a pragmatic particle. Noting that -am is homophonous with both the first person singular agreement suffix and the first person pronominal enclitic, I propose that it is precisely because additive -am is a pragmatic particle that it is distinguished from the inflectional morphemes it resembles in form. Thus the chapter argues for three levels at which morphemes can be classified: derivation, inflection, pragmatic, and suggests that cross-level homophony is not accidental. Rather, frequency of use at one level predisposes a particular form to be used at another level. This ultimately gives a language its morphological ‘flavour’.

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)0.009
metaresearch head score (Gemma)0.033
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.033
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.018
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.057
GPT teacher head0.302
Teacher spread0.245 · 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