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Record W7110533772

Homeland (In)Security : Roots and Displacement, from New York, to Toronto, to Salt Lake City

2003· article· W7110533772 on OpenAlexaboutno aff

Bibliographic record

VenueODU Digital Commons (Old Dominion University) · 2003
Typearticle
Language
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsLiminalityHomelandDemonizationMetaphorLogos Bible SoftwareGeographerShoreSalt lake
DOInot available

Abstract

fetched live from OpenAlex

[First paragraph] On September 11, 2001, broadcast and print media around the world narrated the destruction of New York City's World Trade Center and the deaths of thousands of its occupants. This paper will examine the ways in which television and its appendages (the telephone, the internet, the newspaper) operated to organize the discursive meanings of this traumatic event. I will propose that between September 11 and February 2002's Winter Olympics in Salt Lake City, Utah, ideas about home, roots and rootedness (and their Others: foreignness, homelessness, nomadicism) operated as a discursive mapping of that which could otherwise not be mapped, or fully grasped. From the demonization of those nomads, migrants and others moving across borders, to the triumphant Roots logos on the uniforms of British, American and Canadian Olympic athletes, roots, in a sense, became the unrepresentable real. How did television, then, in its liminal position on the borders of the home, narratively organize the spatial boundaries of inside and outside, local and global? More specifically, I want to examine how Canadian television worked to mediate the trauma of boundary dissolution in both a literal and a representational sense. Following along recent trauma theory, I want to ask: how does a nation itself experiences common symptoms of trauma? And can these fears become unrepresentable in and of themselves, so that the metaphor of home and roots stand in their place?

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.254
Teacher spread0.225 · 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
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

Citations0
Published2003
Admission routes1
Has abstractyes

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