L´Escola Universitària de Formació de Professorat d´EGB Alberta Giménez a través dels llibres d´actes i les fonts orals (1973-1994)
Bibliographic record
Abstract
catalaLa comunicacio analitza l�evolucio d�una institucio d�ensenyament superior a partir de dues fonts. Per una banda, els llibres d�actes dels claustres de professors i els de la Junta del Patronat de l�Escola. I, per l�altra, el testimoni de directores i professors que visqueren aquells anys. Organitzacio escolar, plans d�estudis, aspectes pedagogics i didactics passen pels sedassos de la recordanca dels mateixos protagonistes i per la immortalitat de la paraula escrita. Sens dubte, la reconstruccio de la vida d�una institucio educativa s�ha fet tenint en compte fonts de diversa natura, aixi com elements contextuals que ens permeten determinar el pes de la institucio dins la societat en la qual s�insereix. EnglishThe paper analyses the evolution from a higher teaching institution from two sources. On one hand, the records from the teachers� meetings and the «Junta Patronat de l�escola». On the other hand, the memories from ex-heads of school and teachers from the time. School organization, school plans, didactic and pedagogical aspects are recalled by the protagonists and the immortality of written words. Without any doubt, the reconstruction of the life of this institution has been made taking different sources as a basis, and, also on contextual elements which allow us to trace the importance of this institution in our society.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.051 | 0.008 |
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".