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Record W4385875459 · doi:10.24908/ijesjp.v10i1.16697

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2023· article· es· W4385875459 on OpenAlexvenueno aff
Andrea Hernández Galvis

Bibliographic record

VenueInternational Journal of Engineering Social Justice and Peace · 2023
Typearticle
Languagees
FieldSocial Sciences
TopicAdvertising and Communication Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La creación de narrativas visuales en el marco de Ingeniería, Tecnología y Ciencia responde a una serie de relatos que nacieron de imaginarios utópicos de otros mundos posibles. Enfatizando principalmente en la construcción de ecosistemas que integrarán elementos visuales e identitarios Colombianos, las ilustraciones puntualizaron en comunicar las muchas posibilidades de la tecnología en dialogo con la cotidianidad de las sociedades, que más allá de ser un campo que se explora desde la academia, instituciones, etc.; es una dimensión netamente social, en la que convergen maneras de ser y hacer, legitimando desde visiones subalternas su uso y apropiación. Por lo tanto, la ilustración brinda el espacio en un lienzo digital para capturar esos principios, resignificar y alentar nuevas perspectivas de acción y protagonismo en la ingeniería y tecnología.

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)0.002
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.242
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.002
Scholarly communication0.0110.009
Open science0.0020.009
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.2420.095

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 head0.028
GPT teacher head0.358
Teacher spread0.330 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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