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Record W2787611091 · doi:10.15002/00014326

Grammaticalization as Space Creation: A New View of Grammaticalization

2017· article· en· W2787611091 on OpenAlexaboutno aff
Fuyo Osawa

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicSyntax, Semantics, Linguistic Variation
Canadian institutionsnot available
Fundersnot available
KeywordsGrammaticalizationSpace (punctuation)LinguisticsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

In this paper, I discuss the emergence of articles, the and a/an, in the history of English. The indefinite article a/an appeared later than the definite article the in English. This phenomenon is also to be observed in other languages(Abraham 1997, Lyons 1999). Furthermore, there are marked asymmetries between the definite and indefinite articles in terms of both semantics and distribution (Christophersen 1939, Lyons 1999, Crisma 2011, Dryer and Haspelmath 2013). Here I try to elucidate the reasons for these asymmetries. The articles the and a/an are believed to have developed from the Old English demonstrative se/seo and the numeral an ‘one’(cf. Sommerer 2011). This is an instantiation of grammaticalization(Hopper and Traugott 2003). I assume that a syntactic determiner system, DP(Abney 1987), was absent in Old English. Based on an examination of The York-Toronto-Helsinki Parsed Corpus of Old English Prose(YCOE), and The Penn-Helsinki Parsed Corpus of Middle English, Phase II(PPCME2), I claim that se/seo contributed to this grammaticalization(primary grammaticalization), while an was grammaticalized as a result of this primary grammaticalization. In my hypothesis, grammaticalization means creating a functional space in a given structure. In this case, a space has been established before a noun in anominal structure. Therefore, although depending on the properties of nominals, the use of determiners has become obligatory in Present-day English(cf. Gelderen 1993, 2000). Se/seo contributed to the creation of this space, while an was later grammticalized in the determiner space created by se/seo .Hence, the time difference in their appearance can be accounted for in this way.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.287
Teacher spread0.251 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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