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Record W207788154

Apuntes sobre un liberal agrario: Mariano Matesanz de la Torre (1867-1945)

2008· article· es· W207788154 on OpenAlexaboutno aff
Fernando del Rey Reguillo

Bibliographic record

VenueHistoria y Política Ideas Procesos y Movimientos Sociales · 2008
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicHistorical and socio-economic studies of Spain and related regions
Canadian institutionsnot available
Fundersnot available
KeywordsAgrarianismPoliticsLiberalismSpanish Civil WarAgrarian reformDemocracySuffrageAgrarian societyHumanitiesEconomic historyPolitical scienceQuarter (Canadian coin)Liberal PartyPolitical economySociologyHistoryLawArt
DOInot available

Abstract

fetched live from OpenAlex

Este artículo analiza la trayectoria política de Mariano Matesanz de la Torre tanto en su condición de político profesional como en la de líder corporativo. Su dilatada vida política comenzó durante la Restauración en las filas del Partido Liberal, continuó luego, tras la ruptura del mismo en los años de la Primera Guerra Mundial, en las filas del albismo, para concluir, por último, ya en el marco de una política democrática, como "independiente" durante la II República. Pero un independiente que se situó en la órbita del Partido Agrario nacido a principios de 1934. Porque Matesanz, sin renegar nunca de su liberalismo, bebió fundamentalmente de las fuentes del agrarismo de inspiración castellanista, un fenómeno difuso, de contornos imprecisos y mal estudiado, que, tras cuajar en el tránsito del siglo XIX al XX, permeó luego todo el período posterior hasta la Guerra Civil. Este artículo pretende ser precisamente una contribución al conocimiento de dicho fenómeno a través de una de las figuras que más se significaron en esa línea desde su doble perfil de político y empresario.

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)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.027
GPT teacher head0.233
Teacher spread0.206 · 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
GenreOther

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

Citations1
Published2008
Admission routes1
Has abstractyes

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