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Record W1991570036 · doi:10.1353/lan.2003.0029

<b>The minimalist parameter.</b> Selected papers from the Open Linguistics Forum, Ottawa, 21-23 March 1997. Ed. by Galina M. Alexandrova and Olga Arnaudova. (Current issues in linguistic theory 192.) Amsterdam &amp; Philadelphia: John Benjamins, 2001. Pp. 360. $87.00.

2002· article· en· W1991570036 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

VenueLanguage · 2002
Typearticle
Languageen
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsnot available
Fundersnot available
KeywordsProblem of universalsPsycholinguisticsArgumentation theoryLinguisticsComputer scienceCognitive scienceCognitionPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Reviewed by: Language, text and knowledge: Mental models of expert communication ed. by Lita Lundquist, Robert J. Jarvella. Natalie Sciarini-Gourianova Language, text and knowledge: Mental models of expert communication. Ed. by Lita Lundquist and Robert J. Jarvella. Berlin & New York: Mouton de Gruyter, 2000. Pp. 326. $93.35. It has recently become clear that almost all the cognitive sciences share the same aim: to explain how language and knowledge interact when people create, use, and understand texts. This theoretical approach unites all the works presented in this volume. Linguists, psycholinguists, and psychologists try to show how this interaction of language and knowledge works within a specific domain of expert knowledge, that is, how language is used in real expert situations. The volume consists of twelve papers, organized according to different levels of analysis: from words and phrases, to sentences and cross-sentential relations, to argumentation, texts, and knowledge domains. All the papers combine a data-oriented approach with certain methodologies borrowed from linguistics, text linguistics, translation theory, experimental psychology, and psycholinguistics. The fields of specific knowledge treated here are law, medicine, sociology, economics, and the study of risk. The authors pursue the same goal of investigating the interaction between cognitive aspects of language and text on the one hand and the structure of specialized knowledge on the other. The following examples demonstrate the main framework of the research and the range of presented topics. Åse Almlund uses Charles Fillmore’s semantic case role model (‘The case for case’, in Emmon Bach & Robert Harms (eds.), Universals in linguistic theory, New York: Holt, Rinehart, and Winston, pp. 1–88, 1968) to show how the patient role can supply the reader, both expert and nonexpert, with important information about the structuring and content of legal texts. Almlund says that problems of text comprehension are obvious obstacles to the inexperienced or semiprofessional translator of legal texts, for such texts contain something that is ‘unspoken’ and thus incomprehensible for a third party. Lita Lundquist aims to show that three types of knowledge (linguistic, text, and world knowledge) can be compiled with one formula, the generalized event model. Lundquist focuses on the phenomenon of trans-sentential NP anaphors, the interpretation of which poses certain problems in specialized texts, because a nonexpert cannot know whether two NPs refer to the same entity. The generalized event model serves as a common denominator between cognitive structures in the lexicon, sentences, texts, and background knowledge. Annely Rothkegel tries to find out what enables a professional translator to first identify culturally-specific information in a text and then replace it with information appropriate for recipients from another culture. She analyzes what is transferred via translation, knowledge, or text and what kind of relationship holds between them and proposes a model of an implicit text plan that brings together speech-act based frames and the dynamic communicative environment of text with more static aspects of a text’s global and local structure. Leo G. M. Noordman, Wietske Vonk, and Wim H. G. Simons present a set of experiments that explore similarities and differences in the structure of economic knowledge of highly educated experts in economics vs. nonexperts. The rich set of data demonstrates differences between these two groups in the sets of concepts they have, in how the concepts or measures relate to one another in familiarity with this kind of information, and in the manner of access to the concepts in mental representations. The results are summarized using network diagrams which show positive and negative casual interconnections among 20 basic concepts. Other contributors to this collection are Pierre-Yves Raccah, Jan Engberg, Henrik Høeg Müller, Anne Lise Kjær, Dorte Madsen, Lene Palsbro, Robert J. Jarvella and Suzie Mathieu, Anthony J. Sanford, and Linda M. Moxey. All the reports prove that the mental models approach can be successfully used in various text studies in the relatively new dimension of specific knowledge and differences in knowledge between experts and novices in a certain field. In general, this...

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.786
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.280
Teacher spread0.249 · 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