Interest in Subject Matter: The Mathematics Predicament
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 present study sought to explore (a) the extent to which certain school subjects are perceived sui generis more interesting than others and (b) the extent to which students’ interest in a subject is related to their study choices. A mixed-methods approach was chosen in which an individual interest questionnaire and an open-ended question were administered to 4,068 students at a polytechnic in Singapore. Data were analyzed by means of analysis of variance and content analysis of the responses to the open-ended question. The results suggest that mathematics courses were considered least interesting of all school subjects. Moreover, having to complete mathematics courses was responsible for a significant decrease in perceived interest for the entire study program the students were enrolled in. The content analysis revealed that students believe that mathematics is not in itself less interesting but that courses can be improved by providing more adequate learning resources and structure. Implications of these findings are discussed.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 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