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Record W4404450872 · doi:10.2436/20.8080.01.10

El actor aglutinante: Nacionalismo y sociedad civil en Quebec

2016· article· en· W4404450872 on OpenAlexaboutno aff
Pablo Giori

Bibliographic record

VenueRECERCAT (Consorci de Serveis Universitaris de Catalunya) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Aquest article es proposa reconstruir la història de la societat civil al Quebec (Canadà) per posar-la en relació amb el nacionalisme, l'ascens de l'estat de benestar, els sindicats, l'església i la societat civil, les forces vives de la societat. A través d'entrevistes en profunditat amb els seus principals líders, de documentació institucional i de bibliografia específica reconstruïm un cas particular que ens permetrà, en comparar-lo amb Catalunya, valorar la importància que té la societat civil dins del nacionalisme. En general aquest actor no sol ser tingut en compte ni posat en el centre del debat, a diferència per exemple dels partits polítics, dels seus líders o dels intel·lectuals. Actualment, en un context de crisi de l'estat i dels partits politics, hem començat a considerar que la societat civil pot ser un factor determinant per la seva capacitat de generar aliances entre sectors, de construir hegemonies i de dialogar de forma directa amb la població. La proposta es divideix en quatre apartats: 1) el desenvolupament del marc teòric i la construcció analítica de l’objecte d’estudi i les hipòtesis; 2) una anàlisi sobre la importància que va tenir la societat civil al Quebec en la construcció del moviment nacionalista; 3) una comparació amb el cas Català; i 4) unes conclusions.

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 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)0.001
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: none
Teacher disagreement score0.123
Threshold uncertainty score0.894

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.005
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations1
Published2016
Admission routes1
Has abstractyes

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