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Pensar la pedagogia des de la literatura: formació i institució educativa a les novel·les escolars centreeuropees de principis de segle XX

2024· article· ca· W4395470722 on OpenAlexaff
Judit Belmonte Llorens

Bibliographic record

VenueTemps d'educació/Temps d'educació · 2024
Typearticle
Languageca
FieldArts and Humanities
TopicHistory of Education in Spain
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

ResumAquest article té per objectiu investigar les dimensions de la formació humana i el paper de la institució educativa a les novel•les escolars centreeuropees de principis del segle XX.La primera part va encaminada a fonamentar la literatura, i en concret, les novel•les de formació, com a eina de recerca pel pensament pedagògic i la història de l'educació.Es tracta d'un treball de metodologia qualitativa i hermenèutica, basada en l'anàlisi de tres novel•les, els relats de les quals tenen lloc en el marc del sistema educatiu del Segon Imperi Alemany i de l'Imperi Austrohongarès.La mostra de les novel•les escollides està conformada per Sota la roda, de Hermann Hesse (1906), El jove Törless, de Robert Musil (1906) i L'alumne Gerber, de Friedrich Torberg (1929).S'hi identifiquen cinc dimensions de la formació humana: intel•lectual, corporal, espiritual-creativa, ètica i interpersonal.Es constata que hi ha una crítica a la institució educativa per part dels autors, que va dirigida a denunciar la falta de preocupació pel benestar i la salut dels alumnes, així com a evidenciar la funció de l'escola de formar ciutadans obedients.L'article conclou amb la defensa de la literatura com un llenguatge possible a partir del qual explicar, analitzar i pensar fenòmens pedagògics, i alhora planteja algunes consideracions sobre el caràcter multidimensional de la formació humana.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0040.004
Scholarly communication0.0070.002
Open science0.0020.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.039
GPT teacher head0.317
Teacher spread0.279 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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