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Record W2625098956 · doi:10.1177/0018726717718919

Political ideology and the discursive construction of the multinational hotel industry

2017· article· en· W2625098956 on OpenAlex
Mairi Maclean, Charles Harvey, Roy Suddaby, Kevin D. O’Gorman

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.

Bibliographic record

VenueHuman Relations · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Victoria
FundersUniversity of Houston
KeywordsIdeologyMultinational corporationPoliticsCommunismSociologyPolitical economyRhetoricPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

How might political ideology help to shape an organizational field? We explore the discursive construction of the multinational hotel industry through analysis of one of its leading actors, Hilton International (HI), conceived by Conrad Hilton as a means of combatting communism by facilitating world peace through international trade and travel. While the politicized rhetoric employed at hotel openings reflected institutional diversity, it resonated in parallel with a strong anti-communist discourse. We show that through astute political sensemaking and sensegiving, macro-political discourse that is ideological and universalizing may be allied to micro-political practices in strategic action fields. Our study illuminates the processes of early-stage post-war globalization and its accompanying discourses, demonstrating that the foundation of a global industry may be ideologically inspired. Our primary contribution to theory is specific acknowledgement of the importance of political ideology as a particular ‘social skill’, helping to determine how international business has been ‘won’.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
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
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.249
Teacher spread0.232 · 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