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Record W7057158430

Intensive exposure to English language: an organizational proposal adapted to the Catalan Elementary Education system

2016· dissertation· ca· W7057158430 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typedissertation
Languageca
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsCatalanTeaching staffEnglish languageCompetence (human resources)
DOInot available

Abstract

fetched live from OpenAlex

Aquest document és fruit d'un procés de recerca sobre les experiències que es duen a terme a Québec a l'escola Primària, on els alumnes de l'últim any es veuen exposats de manera intensiva a l'anglès com a llengua estrangera. Arran de la descoberta d'aquest model organitzatiu com a mesura de millora de l'adquisició i domini de la llengua a la regió Canadenca, es formula la hipòtesis : El programa d'anglès intensiu del Québec es pot adaptar a l'organització curricular de l'escola Primària catalana. \nPer respondre a aquesta afirmació, es realitza un estudi de compatibilitat horària segons el què estipula el Currículum de Primària i les bases teòriques sobre l'exposició intensiva a una llengua. Un cop confirmada la hipòtesis, es duu a terme una proposta d'adaptació \norganitzacional en base a les experiències, estudis i recerca realitzats fins ara. La proposta és avaluada per mestres d'anglès i una investigadora de l'àmbit de recerca.

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0070.002
Open science0.0020.006
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0120.003

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 head0.005
GPT teacher head0.261
Teacher spread0.256 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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