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Record W2948943635

Trashumancia en el Señorío de Molina a principios de 1600

2017· article· es· W2948943635 on OpenAlexaboutno aff
Angel Ruiz Clavo

Bibliographic record

VenueCuadernos de etnología de Guadalajara · 2017
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicHistorical and socio-economic studies of Spain and related regions
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

espanolNo es nuestro proposito escribir de la Mesta principalmente, ni analizar en profundidad las sendas o caminos que cruzaban el Senorio en busca de la Canada Conquense para terminar en los Extremos de Castilla, algo de lo que ya se han ocupado otros antes. Nuestra finalidad es muy distinta: pretendemos buscar el origen de la trashumancia en Tierra de Molina hacia tierras andaluzas, analizando el lugar de invernadero de una cabana ganadera, las circunstancias y condiciones del mismo –de las que hay poco escrito o es muy superficial-, prestando especial atencion a la persona del estanciero Pedro Malo de Marcilla, vecino de Molina y morador en Setiles, uno de los mas principales ganaderos de la region, si no el primero. EnglishIt is not our purpose to write the Mesta´s mainly, or analyze in depth the paths or roads that corsed the Senorio of Molina in search of the Canada Conquense to finish at ends of Castile, some of what others are have already o cupied before. Our purpose is very different: we intend to seek the origin of transhumance from land of Molina to Andalusian lands, analyzing a livestock greenhouse place, circumstances and conditions thereof -that there is little written or is very superficial-, paying special attention to the person of the estanciero Pedro Malo de Marcilla, heighbor of Molina, dweller in Setiles, one of most leading farmers in the region, but the first.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.267
Teacher spread0.240 · 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 teacher head, not a consensus.

Study designObservational
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
Published2017
Admission routes1
Has abstractyes

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