An Investigation Into Predictive Variables of Materialism, Greed, Envy for the Student Body.
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
The objective of science is to make sense of the world that surrounds us through fact and reason. When a study is conducted, results should undergo severe scrutiny before being published. A recent survey done at MacEwan University was conducted to determine if eating habits were influenced by envious or materialistic thoughts. Ultimately the study was unable to provide sufficient evidence for the hypothesis. The main conclusion was that priming questions administered in the study were unsuccessful at accomplishing their objective. More careful analysis of the data through categorical means shows that this may not be the only downfall of the study. This paper provides a further in-depth analysis that provides confirmation of the aforementioned statement as well as suggestions to improve the study design. A larger sample is recommended. One study showed promise for demographics that appear to be affected by priming questions. Suggestions are also made for different methods of priming. It is recommended that the original study be repeated to see if changes to the design still fail to provide sufficient evidence of an association between eating habits and materialistic/envious thoughts. Discipline: Statistics Faculty Mentor: Dr. Karen Buro
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.
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 | 0.008 | 0.008 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 it