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Record W7058175975

Madrid, chica Almodóvar

2020· dissertation· es· W7058175975 on OpenAlexaboutno aff

Bibliographic record

VenueUVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · 2020
Typedissertation
Languagees
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsMotleyPower (physics)Capital (architecture)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Se dice que Carmen Maura y Penélope Cruz son chicas Almodóvar, cuando en realidad la ciudad de Madrid también forma parte de este selecto club. Pedro Almodóvar ensalza la capital en gran parte de su filmografía, tal y como se puede ver en ¿Qué he hecho yo para merecer esto!!!, Mujeres al borde de un ataque de nervios y Julieta, películas que son examinadas a continuación desde el punto de vista arquitectónico. En este trabajo se demuestra la importancia de la ciudad para el director a través del análisis de los espacios más representativos y su simbología, las viviendas y los detalles, así como su relación con los personajes, cuestiones que definen las películas de Almodóvar.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.206
Threshold uncertainty score0.688

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2060.045

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 head0.206
Teacher spread0.198 · 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
Published2020
Admission routes1
Has abstractyes

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Same venueUVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid)Same topicMagnetic confinement fusion researchFrench-language works237,207