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Record W2076149691 · doi:10.7202/006539ar

Performance and Memory

2003· article· en· W2076149691 on OpenAlexaffvenueabout
Stephanie White

Bibliographic record

VenueEthnologies · 2003
Typearticle
Languageen
FieldHealth Professions
TopicRomani and Gypsy Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPoliticsNationalismTourismGuard (computer science)Materiality (auditing)GeopoliticsSovereigntyUniversalismPolitical sciencePolitical economyEconomyGeographyAestheticsSociologyLawArtComputer scienceEconomics

Abstract

fetched live from OpenAlex

The Trans-Canada Highway (1949-1962) was a major postwar Canadian nationalist project. It is also a real roadway, originally constructed to standards acceptable in 1949, and paid for by the provinces and the federal government. It is a clear case of a material object designed under a set of conditions that evolve, adapt and persist through changing circumstances. The highway’s physical materiality and usefulness ensures its continued presence; its political and social readings are more ephemeral. Its ambitions of sovereignty were a response to American concerns over geopolitical security. Its routing was a response to American tourism. Its structures — bridges, overpasses, guard rails, verges, signage — are at once intensely local, sited in very particular landscapes, and at the same time follow the lineaments of abstract expressionism — overtly the quantifiable universalism of the modern movement. The Trans-Canada Highway is a case of modernism coming to ground in a local geography.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.016
Scholarly communication0.0100.006
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0330.004

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 head0.090
GPT teacher head0.407
Teacher spread0.317 · 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 designQualitative
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

Citations2
Published2003
Admission routes3
Has abstractyes

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