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Record W330636268

Matti Rissanen, Marianna Hintikka, Leena Kahlas-Tarkka, Rod McConchie (Eds.). 2007. Change in Meaning and the Meaning of Change: Studies in Semantics and Grammar from Old to Present-Day English

2011· article· en· W330636268 on OpenAlexaboutno aff
Rafał Molencki

Bibliographic record

VenueStudia Anglica Posnaniensia: international review of English Studies · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)LinguisticsGrammarCorpus linguisticsMiddle EnglishParsingHistorySyntaxArtificial intelligenceComputer sciencePsychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Matti Rissanen, Marianna Hintikka, Leena Kahlas-Tarkka, Rod McConchie (eds.). 2007. Change in meaning and the meaning of change: Studies in semantics and grammar from Old to Present-Day English. Memoires de la Societe Neophilologique de Helsinki LXXII. Helsinki: Societe Neophilologique. Pp. xvii, 377. The team of linguists affiliated with the English Department of the University of Helsinki have had a long tradition of diachronic corpus studies of English ever since they started compiling searchable text corpora in the early 1990s. A few years later they were organized into a special Research Unit for Variation, Contacts and Change in English (VARIENG), continuing their efforts in creating new corpora of dialectal and specialist texts. Owing to their pioneering work the community of English historical linguists all over the world had access to searchable, albeit limited, diachronic corpora long before the Toronto complete Dictionary of Old English Corpus and the University of Michigan Middle English Compendium became available. The Helsinki corpora also became the basis for the collection of tagged texts which are most useful for the exploration of English historical syntax: the York-Toronto-Helsinki Parsed Corpus of Old English, the Penn-Helsinki Parsed Corpus of Middle English and the Parsed Corpus of Early English Correspondence. Although much larger and more representative diachronic corpora of English texts are now accessible, the Helsinki corpora are still very valuable, providing basis for pilot studies which can be further extended with reference to the huge text databases now available. The volume under review is a good example of successful work that makes use of the Helsinki diachronic corpora database. The book is divided into two major parts. In the first one (Meaning and mind) we find six articles devoted to the semantic developments of content words discussed within the cognitive models of grammar, while the remaining six (Meaning and grammar) deal with various grammatical items analyzed from the point of view of the grammaticalization theory. The volume starts with an interesting paper of Agnes Kiricsi discussing the gradual shift of the metaphoric location of the mind from the heart in Old English to the head in later periods. The author very convincingly shows that the change is connected with the specialization of the word mod 'mood' accompanied by the generalization of gemynd 'mind'. The main reason, Kiricsi claims, was the culturally determined shift of the concept of mind from emotional to mental, at least partially influenced by the Latin tradition. What the author does not mention, however, are possible formal requirements of medieval English poetry such as the number of syllables and alliteration which may have been partially responsible for the statistical occurrence of the discussed items. She could have included a few more illustrating examples, also from the Anglo-Saxon prose. In the Middle English texts she should have taken into account the Scandinavian and the Anglo-Norman influences. Paivi Koivisto-Alanko uses the blending theory with reference to changing metaphoric senses of the word wit from Late Middle English to Present-Day English. The application of this semantic conceptual integration framework to the diachronic language material proves rewarding, yet we believe that apart from the corpus material, the author should have referred to the dictionary material, e.g. the Oxford English Dictionary and--especially--the Middle English Dictionary, where the respective entries for the noun w/t might have provided the starting point for the author's analysis. A similar remark can be applied to Helli Tessari's article about I fear/I am afraid, where the author should have consulted the Middle English Dictionary, which lists some slightly earlier occurrences of epistemic uses of I am afraid than those listed in the OED. Otherwise, the article is a very sound and meticulous analysis of the development of epistemic senses of these verbs, which strongly confirms the direction of change in the theory subjectification. …

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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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.580
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.100
GPT teacher head0.312
Teacher spread0.211 · 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 designQualitative
Domainnot available
GenreReview

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
Published2011
Admission routes1
Has abstractyes

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Same venueStudia Anglica Posnaniensia: international review of English StudiesSame topicLexicography and Language StudiesFrench-language works237,207