Exploring the Relative Importance of Factors That Influence Student-Athletes’ School-Choice Decisions: A Case Study of One Canadian University
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Understanding salient factors influencing student-athletes’ decisions to attend particular university institutions is of crucial importance to scholars and athletic administrators. Consequently, our research was concerned with two separate but interrelated substantive and methodological objectives: i) to gain insights into the relative importance of 12 school choice decision-making factors influencing Canadian student-athletes; and ii) to explore the efficacy of a multicriteria decision-making (MCDM) method for analyzing data in the context of the current investigation. Specifically, we employed the Analytic Hierarchy Process (AHP) to better understand the relative importance of school choice decision factors. The results of the AHP analysis on Canadian student-athletes’ school choice decisionmaking showed that having the desired academic program was the most important influence. This item was almost twice as important as the reputation of the school, and over twice as important as scholarship value, athletic facilities, chance to win, and reputation of the head coach. Of the 12 factors considered, these six had the greatest influence on student-athletes’ decision-making. Implications of our findings for research and recruitment efforts are discussed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it