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Record W1604827869

Motivació dels immigrants adults per aprendre català. Un estudi a la ciutat de Girona, La

2008· dissertation· ca· W1604827869 on OpenAlexaboutno aff
Andrea Bello

Bibliographic record

VenueTDX (Tesis Doctorals en Xarxa) · 2008
Typedissertation
Languageca
FieldSocial Sciences
TopicImmigration and Intercultural Education
Canadian institutionsnot available
Fundersnot available
KeywordsCatalanHumanitiesContext (archaeology)ImmigrationSociologyArtGeography
DOInot available

Abstract

fetched live from OpenAlex

L'estudi analitza la motivacio dels immigrants adults per aprendre catala a partir d'una metodologia quantitativa, concretament SPSS (Statistical Package Social Sciences), eina d'analisi d'altres estudis similars que s'han dut al Canada. Els 272 participants de la mostra provenent de les tres entitats a Girona que oferien classes de catala tot l'any; l'Escola d'Adults de Girona, l'Escola Oficial d'Idiomes i el Centre de Normalitzacio Linguistica. L'estudi, a mes de mostrar diferencies individuals dels participants segons la procedencia geografica (llengua parlada), la llengua de treball, la permanencia i la voluntat de permanencia, considera correlacions entre variables motivacionals i mostra que el model de Gardner (2001) es aplicable en l'estudi d'una llengua minoritaria (catala) i en un context immigrant.

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)0.002
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 score0.136
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.323
Teacher spread0.310 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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