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Record W3111207962 · doi:10.5821/jida.2020.9331

Elementos clave de una base sólida que estructure la docencia de arquitectura

2020· article· es· W3111207962 on OpenAlexaff
Luis Manuel Santalla-Blanco

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldArts and Humanities
TopicArchitecture, Art, Education
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPersonaCartographySociologyArtGeography

Abstract

fetched live from OpenAlex

Se presentan los resultados de una encuesta realizada al alumnado de 7 escuelas de la Península Ibérica. Un total de 1.255 personas que han respondido a un cuestionario diseñado para estudiar el perfil de los nuevos estudiantes y su posición dentro del proceso de aprendizaje. Se cuestiona el método docente que sigue las directrices del Plan Bolonia, buscando sus opiniones sobre los demás componentes del proceso didáctico: el profesorado, la escuela y el propio plan de estudios. La importancia de este estudio reside en la obtención y comparativa de respuestas, entre escuelas públicas y privadas, tradicionales y de reciente creación, con pocas decenas de estudiantes o con miles, en España y en Portugal. El análisis de los resultados dará como conclusión una serie de elementos clave que podrán mejorar la docencia, introduciendo cambios en el plan de estudios, en la escuela o en la relación entre docente y estudiante. The results of a survey carried out among the students of 7 schools in the Iberian Peninsula are presented. A total of 1,255 people responded to the questionnaire designed to study the profile of new students and their position within the education system. The teaching methods that follow the guidelines of the Bologna Plan are questioned, seeking their opinions on the other components of the didactic process: the teaching staff, the school and the curriculum itself. The importance of this study resides in obtaining and comparing responses, between public and private, traditional and recently created schools, with a few dozen students or thousands, in Spain and Portugal. The analysis of results will conclude with a series of key elements that can improve teaching, introducing changes in the curriculum, in the school or in the relationship between teacher and student.

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)0.003
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.016
GPT teacher head0.256
Teacher spread0.240 · 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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