HAPPY FAMILY : WESTJET TRANSPLANTED THE SOUTHWEST AIRLINES OPERATING MODEL INTO CANADA WITH STUNNING RESULTS, BUT ITS SUCCESS REALLY RESTS ON ITS APPROACH TO MANAGING PEOPLE
Bibliographic record
Abstract
This article describes the success of Canadian low-cost air carrier WestJet, launched in 1996 on the Southwest model and enjoying healthy growth. Steps include employee stock options and profit sharing and a corporate philosophy that explicitly puts needs of employees first (and calls customers guests). Scheduling is not based on seniority, so all employees share the pain of unpopular time slots. Training costs are kept down by close management of cockpit teams. Rising profits haven't kept it from expanding to the point where it is truly a national air carrier, with 24 destinations and 1,550 flights a week. WestJet stays away from hub and spoke and won't connect more than seven flights at a time. It also does not overbook flights. Delays more than two hours result in an automatic credit. The emphasis on service, frequency of flights and a friendly corporate brand means it doesn't have to offer the absolutely lowest fare on every leg. The article describes future plans and possible challenges from other carriers such as Air Canada.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.017 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".