Natural sciences in the classroom: the experience of Àngels Ferrer Sensat in secondary schools before and after the Civil War (1932-1941)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.047 | 0.028 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".