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Record W1556475827 · doi:10.24908/ijesjp.v1i1.3519

Engineering and War

2012· article· en· W1556475827 on OpenAlexvenueno aff
Dean Nieusma, Ethan Blue

Bibliographic record

VenueInternational Journal of Engineering Social Justice and Peace · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropology: Ethics, History, Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMilitarismEngineering ethicsContext (archaeology)Field (mathematics)Foundation (evidence)Social engineering (security)SociologySocial constructionismPolitical scienceEngineeringSocial justiceEnvironmental ethicsLawSocial sciencePoliticsComputer securityComputer scienceHistory

Abstract

fetched live from OpenAlex

This paper shows how the connections between engineering and warfare/militarism are closer than is usually recognized. It investigates the nature of that relationship using theoretical perspectives from critical theory and social constructionism. We draw on historical research into the influence of military institutions and interests on the field of engineering, but also look broadly at cultures of warfare that extend beyond formalized military institutions. Focusing on engineering labor and engineering epistemologies, we suggest that engineering today can be understood as a “war-built” discipline—even when practiced apart from military institutions and projects. We put forward “social justice” as an idealized alternative foundation for engineering. In addition to serving as a corrective to the inordinate influence of militarism on engineering, a social-justice-based approach could also sensitize engineers and others to the pervasive role of social context in shaping both what engineers do and how that is understood to serve broad public interests.

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)0.003
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 score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.024
Scholarly communication0.0070.006
Open science0.0000.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0230.003

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 head0.328
Teacher spread0.307 · 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".

Quick stats

Citations24
Published2012
Admission routes1
Has abstractyes

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Same venueInternational Journal of Engineering Social Justice and PeaceSame topicAnthropology: Ethics, History, CultureFrench-language works237,207