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Record W4405505337 · doi:10.1080/17449359.2024.2440471

Beneath the brand: a microhistorical inquiry into the renaming of Air Canada

2024· article· en· W4405505337 on OpenAlex
Nicholous M. Deal

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueManagement & Organizational History · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsSociologyMathematics educationPsychology

Abstract

fetched live from OpenAlex

In this paper, I draw out the micro-analytical promise of microhistory’s lesser-known facets – ‘minor knowledge’ – through a serendipitous encounter with empirical material in an amodern archival project featuring an iconic Canadian airline. The concept of minor knowledge refers to small-scale, often overlooked details and otherwise insignificant narratives that reveal important insights into historical contexts. These contexts are important in microhistory because they connect local events with broader historical processes. With the help of the Trans Canada Airlines’ organizational history, I zoom in on a break in the historical narrative – a little-known critical event involving a brand name change to Air Canada in 1964 – and focus on the impact historical actors had on effectuating this change. Through this research, I draw attention to how, by refining our gaze toward one individual – Jean Chrétien – and his relations to Canadian nationalism and bilingualism, microhistory can enrich our understanding of the interchange between personal agency and the making of larger institutional change.

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 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: none
Teacher disagreement score0.775
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.007
GPT teacher head0.199
Teacher spread0.192 · 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