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Record W4213440818 · doi:10.25145/j.bbaa.2021.15.02

Autoproducción de los óleos alquídicos: formulación y propiedades

2021· article· en· W4213440818 on OpenAlexaff
Mariano Espinosa González de San Pedro

Bibliographic record

VenueBellas Artes Revista de Artes plásticas Estética Diseño e Imagen · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsAlkydGloss (optics)Linseed oilPolymer scienceMaterials scienceComposite materialChemistryOrganic chemistryCoating

Abstract

fetched live from OpenAlex

Alkyd oils are a fairly recent type of paints, similar to traditional oils, yet with a faster drying time. Just because of its relative novelty, no pictorial techniques and materials handbook can be found which could show an artist how to produce their own alkyd oils, which indeed does happen with acrylics or traditional oils. The present study introduces a research that opens doors for an economic and accessible binder by means of which the artist can produce their own alkyd oil paintings. To this end, a wide sample of alkyd resins has been selected and they have been tested through several laboratory analyses and pictorial tests until a combination of alkyd resin and linseed oil, most perfectly suited to the objective of the research, has been found. Once this binder was found, it has been studied in depth by using it to produce paints with a wide range of pigments, and explaining both their individual formulation and their characteristics of Body and viscosity, Gloss, Texture, Flexibility and Drying. Finally, a palette with the most suitable pigments for self-producing alkyd oils has been proposed

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.244
Teacher spread0.233 · 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 designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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