El código disciplinar de la historia escolar en España: Algunas ideas para la explicación de la sociogénesis de una materia de enseñanza
Bibliographic record
Abstract
This paper explains the heuristic potential of the concept of disciplinary code, when applied to the study of the sociological origins of History teaching in Spain. The disciplinary code of History as a subject – seen as an invented social tradition – began in the middle of the nineteenth century. Its main features – archaism, nationalism, elitism and rote learning – survived during the period of traditional-elitist education model, which lasted in Spain until the 1960s. It went through a revision process, more apparent than real, under the education reforms of 1970 and 1990 a period in which the technocratic mass education model prevailed. Traditional teaching styles continued while reforms were being implemented. They prevail with even greater strength today, reaffirmed by conservative education policies, which aim at a tighter control over the curriculum, by returning to the old norms of the disciplinary code.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.019 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".