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Record W7067335224

Mercado de Abastos de Puntales, Cádiz

2018· dissertation· es· W7067335224 on OpenAlexaboutno aff

Bibliographic record

VenueidUS (Universidad de Sevilla) · 2018
Typedissertation
Languagees
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Social impactLatin Americans
DOInot available

Abstract

fetched live from OpenAlex

En este Proyecto de Fin de Grado se desarrolla un mercado de abastos y mercado gourmet para el barrio, con el fin de solucionar algunos problemas planteados anteriormente. Con un equipamiento de mercado en el barrio, se fomenta la creación de emprendimientos productivos, algo casi inexistente en el barrio, ya que los habitantes solo pueden ir a comprar a un Mercadona o a una pequeña tienda situada en la plaza, por lo que también podrían elegir dónde hacer la compra. Por otra parte, los mercados de abastos son un gran motor económico para el barrio, ya que produce más ingresos para el mismo, son más sostenibles medioambientalmente, se genera empleo para la gente del barrio y se fomenta el uso de otros servicios locales. (ver plano 01). En cuanto a la ubicación del proyecto, se escoge la actual Plaza de la Aviación, dotada de una instalación deportiva que en la ordenación urbanística se traslada a la parcela vacía colindante. Se elige esta ubicación porque así el mercado estaría situado en un punto estratégico para actuar como charnela entre el barrio de Puntales y las barriadas de Loreto y de La Paz, atrayendo gente de dichos barrios y de otras zonas de la ciudad y actuando como punto de encuentro y visibilizando el barrio de Puntales.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.004

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 head0.253
Teacher spread0.245 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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