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Record W7135317179

Las huellas de la cultura andalusí en las Islas Baleares: Mallorca como un paradigma.

2015· dissertation· es· W7135317179 on OpenAlexaboutno aff
Amina Doubbi Bounoua

Bibliographic record

VenueDépôt Institutionnel de lUniversité de Tlemcen · 2015
Typedissertation
Languagees
FieldArts and Humanities
TopicHistorical Studies of Medieval Iberia
Canadian institutionsnot available
Fundersnot available
KeywordsBalearic islandsQuarter (Canadian coin)Acquiescence
DOInot available

Abstract

fetched live from OpenAlex

Nuestra investigación se divide en dos partes; una teórica donde hablamos de las Islas Baleares de manera general en la época andalusí y otra práctica donde hacemos un análisis de la Isla de Mallorca como paradigma. En la parte teórica que es el primer capítulo, daremos una visión general de la vida de las Islas de Mallorca, Menorca e Ibiza antes y durante la época andalusí. En la parte práctica, tomamos el caso de Mallorca como un objeto de estudio. En este trabajo vamos a centrar nuestro interés sobre la historia de las Islas Baleares y la llegada de las civilizaciones antiguas hasta el período andalusí. Los primeros contactos de los musulmanes con las Baleares datan de inicios del siglo VIII, momento en que las Islas estaban bajo influencia bizantina. En el año 707 se produjo un saqueo, previo a la entrada islámica de 902, dirigido por Abd Allah ibn Musa ibn Nusayr. Desde esta fecha se estableció, presumiblemente, un pacto que conllevaba una relación de tipo fiscal con la población de las islas.

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)0.002
metaresearch head score (Gemma)0.002
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: Other
Teacher disagreement score0.210
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.024
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.013
GPT teacher head0.245
Teacher spread0.232 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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