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Record W7011284902

Linking archives – Researching into Malagueira

2018· other· en· W7011284902 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2018
Typeother
Languageen
FieldEngineering
TopicPhysics and Engineering Research Articles
Canadian institutionsnot available
Fundersnot available
KeywordsNominationContext (archaeology)CharterRelevance (law)Articulation (sociology)DocumentationAction (physics)National heritage
DOInot available

Abstract

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The author and the co-author have submitted as IR a research project to the 2017 Call for SR&TD Projects in all Scientific Domains (Call No. 02/SAICT/2017, project No. 32111) - Malagueira: Heritage for all. Contributions for its nomination - wich has obtained national support by Fundação para a Ciência e a Tecnologia, I.P. (FCT). The project takes the inscription of Malagueira in the National Tentative List for Unesco for nomination to the World Heritage List (WHL), together with other works by Álvaro Siza Vieira, as an opportunity to identify, recognize and systematize the values of authenticity, integrity, singularity and the outstanding universal value, in close proximity to Évora’s Historic Center (Unesco WHL, 1984). On the one hand, the research aims to collect and consolidate a corpus of documentary and theoretical knowledge to induce Malagueira’s national classification and touristic brand that integrates cultural, architectural, historical, social and scientific values in a Heritage Charter of Malagueira. In addition it is proposed an articulation of augmented reality TICs, graphic design and heritage values. To comply with the first action of the project it is imperative to foster a close relationship with all drawing archives, in particular Drawing Matter (UK), Canadian Centre for Architecture (CA), Serralves and Caloustre Gulbenkian Foundation (PT) and with Câmara Municipal de Évora, local cooperatives and personal files (PT). The documentary framework consists of sketches, rigorous drawings and written texts that relate to both graphical and textual rethoric (Tostrup, H., 1996), provide relevance and context (Testa, P., 1984). These documents constitute the primary generator (Darke, J., 1979) research knowledge and are primordial to the classification values. Therefore, a network between archives and Álvaro Siza Vieira documentation ought to be accomplished and we must envision new ways of accessing and linking relevant information. In the Architectural Department (Departamento de Arquitetura, Escola das Artes, Universidade de Évora) some links have already been produced that constitute starting points to the project that has been approved. Exhibitions in 2016 (Malagueira : Álvaro Siza's Legacy), 2017 (MALAGUEIRA - 40 ANOS DEPOIS) and 2018 (SIZA: Uma Malagueira Plural) have integrated Drawing Matter material, master thesis research by students (João Galhardo and Miguel Gama) and other research work made in class by students (models, photographs, drawings). Visits to Malagueira provide context to the material in archive and empower the residents. A dialogue between archives and research is envisioned in a proficient and dynamic way, linking praxis (from Álvaro Siza Vieira) to academia, through research “into”, “throught” and “for” architecture (Frayling, C., 1993). The innovative nature of this proposal is demonstrated by the trans-disciplinary research and methodology proposed for its accomplishment by the concept of “research by design and the evidence of an in-depth investigation and inter-winding of research and teaching. Through this article we intend to explore these concepts, former accomplishments and discuss the challenges this project will face and overcome.

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)0.006
metaresearch head score (Gemma)0.009
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: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0090.010
Scholarly communication0.0100.007
Open science0.0020.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.041
GPT teacher head0.348
Teacher spread0.307 · 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
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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