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Relevant domestic concepts’ methodology

2023· article· ru· W4368404923 on OpenAlex

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

VenueTomsk state pedagogical university bulletin · 2023
Typearticle
Languageru
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsnot available
Fundersnot available
KeywordsConceptualizationField (mathematics)Context (archaeology)LinguisticsComputer scienceLinguistic contextQuarter (Canadian coin)SociologyArtificial intelligenceHistoryLinguistic analysisMathematicsPhilosophy

Abstract

fetched live from OpenAlex

Продолжена дискуссия о методологии концептуальных исследований, открытой И. Б. Левонтиной в 2008 г. на страницах журнала «Вопросы языкознания» в рецензии на первый том коллективной монографии «Антология концептов» и продолженной И. А. Стерниным и В. И. Карасиком в дальнейших томах словаря нового типа. Наукометрический обзор актуальной лингвистической литературы посвящен изучению различных аспектов концептуализации, материалом для которого послужили описания концептов в русле ведущих научных школ, психолингвистические работы, описания в рамках Московской семантической школы и др. Методом сплошной выборки на официальном сайте ВАК были найдены диссертации по концептологии за последние 10 лет. Кроме того, анализу подверглись актуальные монографии и научные статьи, представленные в базе данных РИНЦ. Основу обзора составили труды за последнее десятилетие, привлекались работы более раннего периода для описания полноты картины. Особое внимание в ходе проведения анализа работ уделялось изучению методологии и материалу исследований. В итоге удалось установить, что 2/5 авторов согласны с предложенной И. Б. Левонтиной стратегией изучения концептов, основанной на семантическом анализе, разработанном в Московской семантической школе, в частности Ю. Д. Апресяном. Лишь 10 % трудов по концептологии основаны исключительно на лексикографических источниках, в остальных случаях привлекаются данные корпусной лингвистики, опрос информантов, полевые исследования и т. п. Около четверти диссертантов опирались на различные экспериментальные методы исследования. Анализ современного состояния отечественной концептологии представлен с привлечением наглядных методов презентации статистической информации, в том числе разнотипных диаграмм. Подводятся промежуточные итоги продолжающейся по сей день дискуссии и очерчиваются некоторые перспективы развития отечественной лингвистики. The paper follows the ongoing discussion on conceptualization methodology that was initiated by I. Levontina on the pages of Topics in the Study of Language in 2008. The author reviewed the first volume of Anthology of Concepts, I. Sternin and V. Karasik continued the debate in the second part of the conceptuary. The paper presents scientometric analysis of up-to-date linguistic works dedicated to various conceptualization aspects. Investigations in the context of leading linguistic schools, as well as psycholinguistic researches and studies within Moscow semantic school were analyzed. All theses on concepts in between 2012.01-2022.04 were taken from the official cite of HAC. Moreover, monographs and contributions from the database of RSCI were studied. The main body of this part consisted of the works published within the last ten years. Still some earlier researches were also engaged to show the whole picture. Special attention was paid to the methodology and material of the selected works. The obtained results show that 2/5 authors support I. Levontina’s proposal on how to investigate concepts. That suggested approach was elaborated within Moscow Semantic School, namely by Yu. D. Apresyan. Only 10% of researches are based on lexicographic sources, the rest rely on corpora, native speakers’ survey, field studies, etc. A quarter of theses’ authors applied various experimental techniques. To visualize the results of the survey different diagrams and charts are used. The paper is wrapped up with the subtotals of the ongoing discussion, some development prospects of domestic linguistic are suggested.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.010

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 head0.237
GPT teacher head0.429
Teacher spread0.192 · 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