Bibliographic record
Abstract
CASE DESCRIPTION This is a case about two families caught up in a proposal to purchase new manufacturing equipment which will result in laying off a number of workers including adult members of one of families. The head of other family is plant manager who will have to make a recommendation to home office about purchase proposal. The case involves calculating and/or analyzing net present value and internal rate of return for proposed capital expense project and constructing a recommendation for plant manager. The personalized information about families involved in case creates a sense of reality and context for students that encourages them to look for weaknesses of NPV and IRR analyses as well as come to grips with social consequences of layoffs to a small town dependent upon for its jobs. All of material in this case is fictional, but students report that they like it because it is real. CASE SYNOPSIS Publicly-traded in over-the-counter market, with 18,000 shareholders, North Star Paper Corporation has several specialty paper manufacturing and converting facilities in North America. One of converting locations is in a small town in northern Maine called Winterville. The is considering investing in equipment from Canada that would automate a significant portion of process used at mill. If equipment is purchased and installed, a third of employees would be dismissed. While that is only 20 people, mill is main employer in village and economic impact would be significant. The village is about a 2.5 hour drive north of Boston, MA. and has a population of about 1300 people. The nearest population center of more than 20,000 people is about an hour's drive away and economy at that location is stagnant. For each dollar generated in spending through wages and benefits, etc. at mill, local economy is increased by $1.75. (In other words, economic impact multiplier is 1.75, so a loss of $45,000 in wages and benefits will remove $78,750 from local and regional economy in addition to lost wages and benefits.) Finally, purchaser of 20% of output from mill is a RV/camper construction headquartered an hour and a half away in Maine. It has joined Buy Maine First coalition and supports jobs growth in Maine. BACKGROUND Joe Cummings lives in Winterville, Maine, and works for North Star Paper Corporation as a machine operator. The machine that Joe operates is one of several purchased 25 years ago that laminates layers of a special type of paper plastic, and glues to produce a building material sheet. Each machine requires a head operator, three feeders and three stackers and a maintenance person. Joe grew up in Winterville, graduated from Winterville High School and went to work for company, just as his father had. Working for the company is what family did. The same year Joe began his job at North Star, he married his high-school sweetheart, Sophie. She was a year behind Joe, but she graduated from high school before giving birth to their eldest child, Clare. Twenty years later, she and Joe have three children. Clare is now completing her junior year in college studying to become a nurse. Her younger brother Phil is a senior in high school and plans to go to college and major in Business. Bobby, youngest, is finishing his sophomore year in high school and thinking seriously about following family tradition and going to work for company when he has his diploma. After Bobby entered school, Sophie also took a job with North Star and now operates a machine just like Joe. Together they gross about $80,000 a year and make a decent living for their family. They are able to pay Clare's tuition at state university school of nursing and figure they can cover Phil's tuition also if he opts for state university school of business. …
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".