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Record W2766110699 · doi:10.5821/qru.9612

El derecho a la vivienda en el casco antiguo de Barcelona

2017· article· es· W2766110699 on OpenAlexaff
Pablo Feu Fontaiña

Bibliographic record

VenueQRU Quaderns de Recerca en Urbanisme · 2017
Typearticle
Languagees
FieldSocial Sciences
TopicAdministrative Law and Governance
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsHumanitiesDerechoPolitical scienceCartographyPhilosophyGeography

Abstract

fetched live from OpenAlex

En el casco antiguo de Barcelona la vivienda está sufriendo una profunda mutación: está pasando de ser un derecho a ser un negocio y eso está comportando la mutación del propio modelo de ciudad. Lo más grave es que este fenómeno está provocando la proliferación de prácticas abusivas contrarias a ley que vulneran abiertamente el legítimo ejercicio de ese derecho. Para entender la dimensión del problema, es necesario acotar primero cuál es el alcance del derecho a la vivienda. En este artículo se hace un enfoque a la problemática del derecho a la vivienda comprendiéndolo desde la normativa vigente y su aplicación y se proponen unas soluciones que podrían coadyuvar a garantizar este derecho en un territorio tan complejo como lo es la Ciutat Vella de Barcelona. In the old city center of Barcelona, housing is experiencing a serious mutation. Residence is no longer a right, instead is becoming a business. This transformation causes evident mutations in the city’s particular model. Abusive practices related to the violation of this right are persistent. In order to understand correctly the dimension of the problem, it is necessary to first define the scope of the right to housing. This article focuses on the issue of the right to housing by understanding it from the current legislation and its application, also proposes solutions that could help to guarantee this right in a convoluted territory as Ciutat Vella.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.381
Teacher spread0.356 · 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 designTheoretical or conceptual
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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