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Record W2790875416 · doi:10.20381/ruor-19199

Symbols that unite: A semiotic analysis of the Vancouver 2010 brand

2009· dissertation· en· W2790875416 on OpenAlexaboutno aff
Chad Story

Bibliographic record

VenueuO Research (University of Ottawa) · 2009
Typedissertation
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSemioticsArtAdvertisingLinguisticsPhilosophyBusiness

Abstract

fetched live from OpenAlex

Images assist in the propagation of mythological narratives, as is the case for the basic unit of analysis of this study, the Vancouver 2010 brand. The use of images gives material existence to abstract ideas such as nationalism, religion or the notion of unity. Using the notion of triadic semiosis, as well as the social semiotic model to which it belongs, this study analyzes contemporary notions of Canadian identity, as represented visually, through the Vancouver 2010 Olympic brand. Two empirical findings have emerged as a result of this study: (1) The Canadian identity as conceptualized by scholars who have studied it in the past has undergone a process of change, namely a shift from a "traditional" Canada, deeply connected to the natural landscape and geography, to a "contemporary" Canada, composed of large metropolitan centers ready to do business with an increasingly globalized world. (2) A linguistic dualism continues to pervade within contemporary Canadian life, a fact visually represented within marketing materials used to promote the Vancouver 2010 brand.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.921

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0070.016
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.054
GPT teacher head0.306
Teacher spread0.252 · 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

Citations1
Published2009
Admission routes1
Has abstractyes

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