Political ideology and the discursive construction of the multinational hotel industry
Bibliographic record
Abstract
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’.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.007 | 0.035 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".