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Record W7125571493

Natural sciences in the classroom: the experience of Àngels Ferrer Sensat in secondary schools before and after the Civil War (1932-1941)

2024· article· ca· W7125571493 on OpenAlexaboutno aff
Núria Valls Ollé

Bibliographic record

VenueEstudis Romànics (Institut d'Estudis Catalans) · 2024
Typearticle
Languageca
FieldArts and Humanities
TopicHistory of Education in Spain
Canadian institutionsnot available
Fundersnot available
KeywordsSpanish Civil WarNova scotiaKingdomChose
DOInot available

Abstract

fetched live from OpenAlex

Aquest estudi s’estructura al voltant de la trajectòria educativa d’Àngels Ferrer Sensat entre els anys 1932 i 1941. Durant aquest període, Ferrer fou primer professora de Ciències Naturals a l’Institut-Escola del Parc de la Ciutadella (1932-1939), un institut model d’Escola Nova durant la República. Un cop finalitzada la Guerra Civil espanyola, fou depurada i enviada durant els anys 1940-1941 a l’institut Isabel la Católica, exemple de la Nueva Educación Española de la Dictadura. A través de la comparació de les pràctiques de Ferrer Sensat durant els dos períodes, i des d’una aproximació historicoeducativa, aquest treball pretén analitzar la didàctica pedagògica utilitzada per Ferrer per ensenyar Ciències Naturals en cada context. A la vegada, la recerca permet visualitzar com les pràctiques reals del dia a dia a les aules s’ajustaven — o no—, als ideals d’Escola Nova i Nueva Educación, respectivament. A més, es proposa aquesta docent com un exemple de possibles continuïtats de pràctiques i didàctica de la ciència de l’Escola Nova durant l’etapa de principis del franquisme. Finalment, es vol debatre com els rols de gènere afectaren no només les pràctiques educatives sinó el seu reconeixement.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.018
GPT teacher head0.268
Teacher spread0.250 · 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 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
Published2024
Admission routes1
Has abstractyes

Explore more

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