MétaCan
Menu
Back to cohort

Images of Silence: a creative and artistic approach to communicating the findings of a seismic experiment in northern Chile

2023· article· W7140290083 on OpenAlexaff
Sergio Leon-Rios, D. Comte, Catalina Rojas Moya, Camila Calzada

Bibliographic record

Venuenot available
Typearticle
Language
FieldComputer Science
TopicSeismology and Earthquake Studies
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsField (mathematics)Feature (linguistics)Photography

Abstract

fetched live from OpenAlex

Here we present a dissemination method that combines science and art to visualize a seismic experiment conducted in northern Chile. Through the expertise of an illustrator using digital watercolor techniques and a science journalist who contributed her expertise in creating plain-language keynotes, we created six visually compelling art pieces to summarize the progress and results of the first year of a project funded by Fondecyt-ANID. The artwork, called “Images of Silence” ( Imágenes del Silencio , originally in spanish), plays with the concepts of silence and images . Here, the quitness of the desert is often interrupted by the loudness of seismic activity. Additionally, the illustrations - images to tell a story - offers a narrative for a seismic experiment that aims to image the Earth's interior. This artwork creatively incorporates indigenous pictograms found in regional rock formations, making a meaningful connection between seismology and the region's rich cultural heritage. Finally, Images of the Silence is an transdisciplany work with scientifics, journalists and artists to develop an unconventional approach to better communicate our results and remind us that science and art always go together.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.276
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicSeismology and Earthquake StudiesFrench-language works237,207