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Record W2580528011

Along the Highway: Landscapes of National Mourning in Canada

2014· dissertation· en· W2580528011 on OpenAlex
Jordan Claire Hale

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace · 2014
Typedissertation
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyArchaeologyTransport engineeringRegional scienceCartographyGenealogyEngineeringHistory
DOInot available

Abstract

fetched live from OpenAlex

Between 2002 and 2011, 158 Canadian Forces soldiers died while serving in Afghanistan and were repatriated via Canadian Forces Base Trenton to the Office of the Chief Coroner of Ontario in Toronto for autopsy. The repatriation route took their bodies along Highway 401 in central Ontario, where thousands assembled on bridges above the highway to pay their respects. In this thesis, I detail the memorial landscape that developed around what came to be known as the Highway of Heroes, and I use this conception of the highway as a landscape to demonstrate the ways in which it participates in the ongoing remilitarization of Canada. Following the work of Judith Butler, I argue that the Highway of Heroes contributes to the production of a hierarchy of grievable subjects, and the act of memorializing soldiers is implicated in the erasure of other victims of state violence, including missing and murdered Indigenous women.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.899

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.326
Teacher spread0.303 · 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