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Record W7001642900

Language learning through cultural exchanges on site

2015· article· en· W7001642900 on OpenAlexaboutno aff

Bibliographic record

VenueUPM Digital Archive (Technical University of Madrid) · 2015
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipCertificatePromotion (chess)Bridge (graph theory)Subject (documents)Language acquisitionLanguage industryProfessional developmentHigher education
DOInot available

Abstract

fetched live from OpenAlex

The Spanish educational system has been engaged in a far-fetching language program that promotes a bilingual training for a high number of students in most primary and secondary state schools. At tertiary level, most universities in Spain, among them the Universidad Politécnica de Madrid-Spain (UPM, require a B2 certificate (CEFR) to enroll in the compulsory subject “English for Professional and Academic Communication” . Even though students are supposed to have achieved a B2 level on completing their secondary education, experience over the last years shows that they are far from this high-intermediate level. Fully aware of this problem the UPM is promoting several programs of Innovation in Education to help students bridge the gap and obtain the B2 certificate. The Language Learning through Cultural Exchanges on Site Program presented in this article is based on a partnership between the UPM and the University of British Columbia, Canada (BCU) . This program offers opportunities for language learning (English-Spanish)through in situ encounters and acts as a model for innovation in language and culture engagement. This initiative aims to follow novel methodological trends such as the promotion of autonomous learning, self-assessment and peer-assessment

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.290
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.253
Teacher spread0.225 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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