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Record W7064117441

Analyse argumentative du discours épilinguistique au Québec : les lieux communs comme indicateurs de normes

2010· dissertation· en· W7064117441 on OpenAlexaboutno aff

Bibliographic record

VenueDIAL (Catholic University of Leuven) · 2010
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsArgumentativeNormativeCharterChoseSubject (documents)Discourse analysisAffect (linguistics)Focus (optics)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this thesis is to gain a better understanding of linguistic representations among young Québec adults between 25 and 35 years old. Few studies have dealt with this subject since the 1990s, and the more recent work has been concerned with future teachers (Remysen, 2002) or high school students (Razafimandimbimanana, 2005). I chose to focus on young Québec adults raised after the Quiet Revolution and the adoption of the Charter of the French Language (1977) and who are not working in a field related to language in order to determine if, on the one hand, linguistic representations have changed since the 1990s and, on the other hand, if the facts of not being a “language professional” and of not being assessed by a learning institution anymore could affect their attitude towards language.\nBased on a corpus of interviews conducted with 30 young Québec adults living in and around Sherbrooke, this study aims firstly at collecting the opinions of my informants on various themes related to linguistic representations in Québec, i. e. superiority of French from France, the threat of English in Québec, the use of anglicisms, the degeneration of French in Québec, the concept of mistakes and the complexity of written French. Second, I identify the normative criteria revealed in the informants’ discourse that are used to assess the French that is spoken in Québec. This identification is based on an argumentative analysis of the epilinguistic discourse in order to shed light on commonplaces, which are clues of what the informants view as being part of the common standards. Based on the criteria I found, in combination with the standards of A.-M. Houdebine’s linguistic imaginary, I developed a hierarchy allowing to determine, on the one hand, which criteria most often lead to a conclusion, and on the other hand, which ones are only used as a concession, indicating that they are acknowledged as a common standard but not taken up by the informant. As some commonplaces are not agreed upon in the discourse on language, I analyse the discourse in which these contradictions are found while paying special attention to the scope of the arguments put forward and to the dissociation of concepts, which helps foster a better understanding of these apparent contradictions.\nThe results of this research reveal, among the group of a speakers interviewed, a certain tolerance towards discrepancies from the standard described in reference works as well as a certain indifference regarding the standard coming from France. Moreover, the normative criteria that bear the greatest argumentative weight are criteria associated to the use of the language, not to the standard of reference. This distinction between use and standard is also found in the explanation of contradictions, which means that the informants make a distinction between assessment of their own use of French and assessment of the use of others (for instance using French of France) and between the spoken language and the “ideal” language. The conclusions drawn from the various analyses carried out in this study reveal a greater linguistic security among my informants than among the populations that had been examined in previous studies.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.016
GPT teacher head0.282
Teacher spread0.266 · 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 designOther design
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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

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