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Record W4392595542 · doi:10.18357/bigr51202421809

Documenting Border Barriers

2024· article· en· W4392595542 on OpenAlexvenueno aff
Pamela Dodds

Bibliographic record

VenueBorders in Globalization Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Documenting Border Barriers is an ongoing research-based artwork in etching and relief printmaking that addresses the exponential rise in fences and walls that have been built on the borders of nations and territories to keep people out. Each print details a specific border barrier in the world today, based on documentary photos, texts, and reports.
 The technique combines drypoint etching and relief printmaking. Drawings are scratched into a rectangular plexiglass plate using an etching needle and abrasive tools. A thick ink is then spread on the scratched surface and wiped clean, leaving ink in the abrasions. Finally, the plate is pressed on paper with a manual etching press. Surrounding details are omitted to portray the razor wire, cement, and steel with visceral immediacy. An impression of landscape and sky are evoked with an under-printing of wood grain patterns. In some prints, printed window screen creates the impression of chain link. The prints, each unique in detail yet similar in composition, bear witness to the violent policies of exclusion and lack of concern for the lives of people on the move.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.013
GPT teacher head0.437
Teacher spread0.425 · 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.

Study designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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