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Record W1526285815 · doi:10.3138/flor.26.003

Morphology and Diachrony in <i>A Grammar of Old English</i> and the <i>Dictionary of Old English</i>

2009· article· en· W1526285815 on OpenAlexvenueno aff
R. D. Fulk

Bibliographic record

VenueFlorilegium · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsGrammarHistoryPhonologyPresentation (obstetrics)PaceSyntaxComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Just as Richard M. Hogg relied heavily on the resources of the Dictionary of Old English Project, particularly the Microfiche Concordance to Old English, in compiling the first volume of his Grammar of Old English, on phonology, the project of completing the second volume, on morphology, has yielded many reminders what an indispensable asset the Dictionary of Old English and the resources it has spawned are to the community of linguists and medievalists. Hogg was particularly concerned to distinguish diachronic and synchronic analysis of the language, in regard to nominal morphology actually separating the two concerns into discrete chapters; working with the resources of the DOE for the purpose of completing Hogg’s work has, thus, prompted some contemplation of the advantages and disadvantages of the dictionary’s approach to matters of diachrony and synchrony in respect to Old English morphology. The dictionary itself supplies some exceptionally useful information on morphology, particularly in its presentation of attested forms and inflected varieties. A peculiarity of the DOE, however, is the relative thoroughness with which considerations of language history have been excluded from the construction of the dictionary. Considering the very many difficulties that the editors would have had to address had they chosen to include much historical information — difficulties that surely would have strained the Project’s budget and pace of production — it would be unreasonable to expect them to have done otherwise. The consequences of this course of action, however, are far-reaching, and the following remarks will demonstrate that excluding most kinds of historical information from the DOE has had some unanticipated effects, creating problems, some quite serious, in connection with matters that might at first appear to be unrelated to language history. That is to say, the very idea of separating entirely synchronic and diachronic concerns in Old English lexicography is fraught with problems, and the result of excluding most sorts of diachronic concerns is detrimental to many kinds of synchronic analysis.

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)0.002
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 score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.008
Scholarly communication0.0060.005
Open science0.0010.002
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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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