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Record W279256197

Реализация лексической единицы North в канадских произведениях (на материале романов Ф. Моуэта)

2014· article· ru· W279256197 on OpenAlex
Рахимова Диана Фердинандовна

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueИзвестия Алтайского государственного университета · 2014
Typearticle
Languageru
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLexemeLinguisticsPhraseFormative assessmentHistorySociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The article deals with problems of realization of the dictionary meanings, the word-formative and phrase forming potential of the lexeme «north» in Canadian author’s (Farley Mowat) novels. On the basis of dictionary definitions and texts, she analyzes the linguistic surrounding of the lexeme «north». The author reveals more frequent and less current derivatives of the lexeme «north». More frequent derivatives of the lexeme north are the following: northern, northward, northwest and less current are northeast, northlands and others. Farley Mowat’s novels contain high percentage of different words, phrases and word combinations that are related to definite cognitive aspect (direction, cardinal point 94%) and less presented cognitive aspects (lying in the northern part of the earth 5%, northern citizen 1%). The author reconstructs presentations of north in the Canadian language consciousness on the basis of text fragments. Hence, the lexeme north is widely spread in Canadian author’s novels (has high word-formative and phrase forming potential adding more definitions to those that were fixed in the dictionaries).

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.604
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.002
Science and technology studies0.0060.004
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0220.008

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 head0.014
GPT teacher head0.197
Teacher spread0.183 · 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