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Record W6996147900

Resistir és vèncer: el setge carlà de Puigcerdà durant la Setmana Santa de 1873

2010· article· ca· W6996147900 on OpenAlexaboutno aff

Bibliographic record

VenueRACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya) · 2010
Typearticle
Languageca
FieldArts and Humanities
TopicMedia, Journalism, and Communication History
Canadian institutionsnot available
Fundersnot available
KeywordsStatistical analysisQuarter (Canadian coin)Front (military)Population
DOInot available

Abstract

fetched live from OpenAlex

Aquest estudi està dedicat a analitzar el segon setge carlí de la ciutat de Puigcerdà, que va tenir lloc els dies 10 i 11 d'abril de l'any 1873, a l'inici de la III Guerra Carlina.La revolució de 1868 va tornar a obrir la via carlina.Encara que no fou fins la fallida de la I República i el curt regnat d'Amadeu de Savoia quan el pretendent carlí, Carles VII, va adonar-se que s'iniciava una nova oportunitat d'aconseguir la corona espanyola.A partir de 1872 les partides carlines varen recórrer el territori català, sobretot les zones muntanyoses.Amb la caiguda de Berga i de Ripoll, la vila de Puigcerdà es va témer un proper atac carlí; efectivament, aquest va produir-se a la primavera de l'any 1873.Anteriorment, la població va iniciar una intensa fortificació i millora de les seves defenses.El setge fou curt, ja que va durar només 26 hores, però força intens i ferotge.Els constants fracassos carlins a l'hora de conquerir Puigcerdà i l'arribada a la Cerdanya de la columna del coronel de l'exèrcit nacional Cabrinetty varen fer desistir les tropes carlines, finalitzant així el setge carlí.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.620

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.008
GPT teacher head0.239
Teacher spread0.231 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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