Taking or Not Taking a Class: Students’ Perceived Physiognomies Associated with Syllabi
Bibliographic record
Abstract
This paper has tried to reconcile and synthesize the existing literature on course syllabi and create an interconnected and cohesive conceptual framework capable of bringing together the findings of previous conceptualization. The spin-off objectives involved conducting a survey to establish the students’ overall perceptions regarding the course syllabi in general and the most recent syllabi they have been exposed to in particular. More importantly, we wanted to find out if the students’ current perceptions were significantly different from an ideal syllabus perception and whether students’ gender, ethnicity, academic standing, option, time of class, and class structure (i.e., regular vs. totally online) influenced students’ perception of a syllabus. This study identified four factors contributing to an ideal syllabus. This study extended the previous research on syllabi because no other study has focused on syllabus format and its visual presentation. The findings suggest that alternative strategies should be used to communicate syllabus information.
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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 | 0.019 | 0.118 |
| 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 | 0.001 |
| 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 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".