Bibliographic record
Abstract
The Schwartz Values Survey (SVS), developed by Shalom Schwartz, was used to explore the values and value priorities of undergraduate business students in a mid-sized Canadian university. These business students considered family security as their top individual value and ranked successful, healthy, and enjoying life among their top ten individual values. On the other hand, detachment, accepting my portion in life and social power were least valued. They regarded Benevolence and Achievement as their top two value types (cluster of related values), and ranked the higher order meta-value Self-Transcendence first followed by Openness to Change. The accounting and finance majors considered Hedonism as their top priority while the other business majors valued Benevolence most highly; however, overall, there were more similarities than differences between these two groups. When compared with the males, females valued the meta-value Self-Transcendence significantly more and exhibited values and value systems that have more of a social focus and less of a personal focus. First-year and fourth-year business students ranked the meta-values in the same order; however, Self-Transcendence was rated as significantly more important to the students in their first year compared to those in their fourth year.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".