How Often Do They Change Their Minds and Does Work-Integrated Learning Play a Role? An Examination of "Major Changers" and Career Certainty in Higher Education.
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
This project examined the role of cooperative education (co-op) in changing majors and career certainty in Canadian university students. Career certainty scores were collected using an online questionnaire from students in both cooperative education and non-cooperative education. The frequency with which students changed their major and their reasons for doing so were also collected. Results revealed that while non-co-op students changed their major significantly more often than their non-co-op peers, they did not differ in terms of career certainty. The two primary reasons cited by non-co-op students for changing majors were interest and impact on career. It is recommended that future research expand on this study to determine if the practical experience gained from co-op provides students with the real world practice they need to connect their classroom learning to their chosen career. Implications for the findings are discussed. (Asia-Pacific Journal of Cooperative Education, Special Issue, 2015, 16(2), 145-152)
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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