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Record W2790531610 · doi:10.1111/1467-968x.12117

Syntactic Echoes Of Pronominal Cliticization And Grammaticalization: The Case Of Old High German First‐Person Plural ‐<i>Mes</i>

2018· article· en· W2790531610 on OpenAlexaff
Katerina Somers, M. Kathryn Allison, Matthew Boutilier, Robert B. Howell

Bibliographic record

VenueTransactions of the Philological Society · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsMount Allison University
Fundersnot available
KeywordsPluralLinguisticsSuffixFocus (optics)GrammaticalizationGermanHistorySubject (documents)PhilosophyComputer science

Abstract

fetched live from OpenAlex

Abstract The origin of first person plural (1PL) ‘long’ forms of the typefaramês/‐mes ‘(we) go’ in Old High German (OHG) is one of the most intractable problems in the history of the Germanic languages. Because these forms are confined only toOHGand have no obvious parallel elsewhere in Germanic or Indo‐European, most of the tools of the comparative method are of little use, with the result that the many accounts put forward over the past two centuries rely on a series of unlikely and ad hoc assumptions. What is more, previous work has focused on the one aspect of the problem that scholars are least likely to solve given the array of texts we presently have at our disposal, while paying little attention to what we argue is the more promising line of inquiry. That is, existing studies discuss in detail the possible morphological sources of‐mesand their phonological development and focus little on the syntactic environments in which verbs inflected with‐mesoccur. We intend to reverse this trend through a comprehensive examination of‐mesacross theOHGcorpus, with a particular focus on two of its major monuments, theOHGTatianand Otfrid’sEvangelienbuch; this analysis shows that the syntactic distribution of‐mes‐inflected verbs point to the suffix being diachronically and synchronically pronominal. Thus, we conclude that‐mesmust have arisen as the result of pronominal cliticization, a suggestion first put forth by Kuhn ( ) and Paul ( ).

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: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.243
Teacher spread0.216 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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Same venueTransactions of the Philological SocietySame topicLinguistics and language evolutionFrench-language works237,207