Maritime Bus: Goal setting and surviving the pandemic crisis [Case study and teaching notes]
Bibliographic record
Abstract
Maritime Bus is a case study focusing on entrepreneurship; strategy; goal setting and decision-making during the global pandemic crisis. The entrepreneuer in this case is faced with navigating a busing company in Atlantic Canada through declining ridership, mounting financial pressures and contemplating laying off staff. This case will certainly challenge and motivate your undergraduate or graduate students. \n \nThe teaching note outlines the corresponding "Maritime Bus Goal Setting and Surviving the Pandemic Crisis." The purpose of a case study teaching note is to provide educators with a comprehensive and detailed guide on how to effectively use a specific case study in the classroom. It serves as a roadmap for instructors, offering insights into the case's objectives, key themes, and potential teaching strategies. The teaching note outlines the case's background information, identifies important teaching points, and suggests discussion questions, analysis frameworks, and recommended resources. It also assists instructors in managing classroom dynamics, addressing potential challenges, and facilitating meaningful student engagement. Ultimately, the teaching note aims to enhance the learning experience by empowering educators to effectively navigate and leverage the case study material to promote critical thinking, problem-solving, and application of concepts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".