MétaCan
Menu
Back to cohort
Record W7004859116

Soil, sand, salt

2020· other· en· W7004859116 on OpenAlexfundno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typeother
Languageen
FieldMedicine
TopicBiological and pharmacological studies of plants
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaYork University
KeywordsMateriality (auditing)Subject (documents)Work (physics)Mass mediaCyberneticsPoliticsInformation technology
DOInot available

Abstract

fetched live from OpenAlex

My practice focuses on exploring media, censorship, and communication through the mediums of painting and installation. Satellite dishes are one of the primary communication devices used to access mass media and as a result, have become part of urban design. These devices also play a dominant role in the infrastructure for surveillance and security systems. Many regions are still subject to restrictions in media infrastructure, and their inherent biases. Underground information networks thus emerge. Many secretly engineer homemade devices, such as satellite dishes, as a lifeline to outside media. Using the concept of cybernetic networks, this project seeks to examine the relationship that exists between the political body and the invisible networks demonstrated in unassuming infrastructures, through the use of an autobiographical methodology. Drawing together medium and message, the work explores the materiality of place and person, to demonstrate the complicated relationship that exists between technology and our socio-political climate.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.914
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0860.013

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 head0.022
GPT teacher head0.186
Teacher spread0.164 · 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.

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueYork University Digital Library (York University)Same topicBiological and pharmacological studies of plantsFrench-language works237,207