Bibliographic record
Abstract
The roles played by chief financial officers (CFOs) across industries have evolved over the years beyond the areas of treasury and controllership to become more strategically focused today. Relative to CFOs in other industries, hospital CFO responsibilities are more likely to be traditionally focused on the finance function. Hospitals are subject to unique forces and constraints not generally apparent in other sectors of the economy. They are highly regulated and are characterized by unique organizational forms, services and reimbursement. There remain many questions about the activities of hospital CFOs. This dissertation highlights some of the questions and suggests some answers. The intent of this dissertation is to better understand the roles and compensation of hospital CFOs in the US and Canada. Taken together these topics attempt to build a more holistic perspective on the activities and roles of hospital chief financial officers. The three papers in this dissertation ask the following questions: (1) Are the jobs of hospital CFOs different from those of CFOs in other industries? (2) Are the jobs of hospital CFOs in the United States different from those of hospital CFOs in Canada? (3) Do hospitals in the US and Canada pay their CFOs half the compensation of their chief executive (CEO) officers? The first two questions utilize a work survey of hospital CFOs. The third question utilizes compensation data from not-for-profit hospitals (Ontario, Canada and New Hampshire) and for-profit hospitals (across the US). The results indicate that hospital CFOs are different from their counterparts in other industries. Typically, a hospital CFO has a stronger academic background, greater internal focus and strong operational expertise. CFOs in Canada and the US have differences in their backgrounds and in the activities they perform. Relative to the more administrator type of role played by Canadian CFOs, US CFOs lead more general manager-like roles. Their work appears to be less focused on traditional finance functions. Evidence supports the hypothesis that hospitals may be employing behavioral economics based heuristics and paying their CFOs roughly half the compensation they pay their CEOs. In Ontario, hospital financial performance did not predict CFO compensation.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".