Bibliographic record
Abstract
cet article presente un bref apercu de l’histoire des Forces Armees espagnoles remarquant l’importance de l’institution militaire et son role dans l’histoire espagnole contemporaine. Depuis la mort de Franco il y a eu une tentative de canaliser le commandement des Forces Armees dans la voie democratique et constitutionnelle, jouant un role essentiel dans ce sens le general Gutierrez Mellado. Depuis 1981, deux mesures importantes dans le domaine militaire sont prises: la dite Cause 2/81 pour la poursuite judiciaire des responsables de la tentative de coup d’Etat, et la demande d’adhesion de l’Espagne a l’OTAN, etape tres importante qui determinera l’avenir du pays et conduira a la modernisation des Forces Armees espagnoles, comparables, depuis, a celles du monde occidental. Apres la victoire socialiste de 1982 le changement de position du PSOE fut clef: le gouvernement transforma habilement son anti-americanisme initial, ce qui permit l’acces du pays a l’OTAN apres le referendum de 1986, modifia profondement l’armee, et elimina les tensions militaires. La derniere etape du processus de modernisation fut menee par le gouvernement Aznar, qui reussit la professionnalisation des Forces Armees et l’integration de l’Espagne dans la structure militaire de l’OTAN.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".