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Record W2952326159

De la France catalane à la Catalogne Nord : (re)définitions et évolution du sentiment d’identité nationale du septentrion catalan

2019· article· fr· W2952326159 on OpenAlexaboutno aff
Alà Baylac Ferrer

Bibliographic record

VenueDalhousie French Studies · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsCatalanHumanitiesIdentity (music)IdeologyConscienceFrenchSociologyEthnologyPolitical sciencePhilosophyPoliticsLaw
DOInot available

Abstract

fetched live from OpenAlex

This article reflects on the definitions and the evolution of identity in Northern Catalonia, the Catalan that has been presented, in an original and stimulating way, as the main problematique of Dalhousie French Studies ’ special section. Starting from the problem of the name of the territory and the ideological and programmatic connotations of each of its appellations, the article evokes the various dimensions that go hand in hand with an awareness of identity. Definitions of individual and collective personality are conditioned (in a synchronous or successive way) by several factors: language and its teaching; history, culture, socio-communitarian representations and cross-border relations. Sometimes these issues are complementary, sometimes they are mutually exclusive. The article also underlines the intrinsic reluctance of the French institutional framework to identity difference and diversity. Finally, it traces the possibility of renewing the constituent elements of Northern Catalans’ national consciousness via the powerful sovereigntist movement that has been so present for many years in southern Catalonia. Le present travail propose une reflexion sur les definitions et l’evolution du sentiment d’identite catalane en Catalogne (du) Nord ( speaking area in France ), la « France catalane » tel que pose la problematique les Dalhousie French Studies de maniere originale et stimulante. Partant du probleme de la denomination du territoire et des connotations et sous-entendus ideologiques et programmatiques de chacune des appellations, l’article evoque les diverses dimensions consubstantielles a la conscience d’identite catalane. La langue et son enseignement, l’histoire, la culture, les representations socio-communautaires et les relations transfrontalieres conditionnent les dynamiques de definitions de la personalite individuelle et collective, complementaires ou excluantes, de maniere synchrone ou successive. Le travail souligne les reticences intrinseques du cadre institutionnel francais a la difference identitaire et a la diversite, et trace la perspective d’un renouveau et d’un renouvellement des elements constitutifs de la conscience nationalitaire des Catalans du nord, en relation avec le puissant mouvement souverainiste qui s’exprime depuis plusieurs annees en Catalogne du sud.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
models splitAgreement compares identical category sets and study designs across arms.

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.899

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.007
Scholarly communication0.0090.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.260
Teacher spread0.237 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Qualitative
Domainnot available
GenreOther · Empirical

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
Published2019
Admission routes1
Has abstractyes

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