MétaCan
Menu
Back to cohort

The Unreliable Nation

2017· book· en· W4234743817 on OpenAlexaboutno aff
Edward Jones‐Imhotep

Bibliographic record

VenueThe MIT Press eBooks · 2017
Typebook
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsNatural (archaeology)Political scienceIdentity (music)Political economyHistoryEnvironmental ethicsGeographyMedia studiesSociologyLawAestheticsArchaeology

Abstract

fetched live from OpenAlex

Natures and technologies have long been central to the making of modern nations. Only recently, however, have scholars seen nations as sites where the very understandings of the “natural” and the “technological” were articulated, contested, and remade in the interests of the nation. This book examines the role of technological failure in crafting both national identities and the distinctive natures that support them. Focusing on the mid-twentieth-century attempt to extend reliable radio communications to the Canadian North, it explores how a group of Canadian defense scientists sought to visualize, map, and catalog the connections between a distinctive natural order of ionospheric storms, auroral displays, and magnetic disturbances on one side, and the particularly severe communication failures that cut the North off from the rest of the nation on the other. Through that project and its related efforts, they gradually transformed machine failures in hostile environments, from the Arctic to outer space, into a defining characteristic of Canadian identity at a time of national redefinition. Tracking those efforts through continental defense strategies, engineering practices, clandestine maps, and material cultures, the book argues that the real and potential failures of machines came to define the nation, its Northern nature, its cultural anxieties, and its geo-political vulnerabilities during the Cold War. More broadly, it argues for technological failures as key sites for linking historical technologies and historical natures, and for writing the histories of “other” nations during the Cold War.

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 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 score0.037
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.041
GPT teacher head0.266
Teacher spread0.224 · 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
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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueThe MIT Press eBooksSame topicPolar Research and EcologyFrench-language works237,207