Experiential High School Career Education, Self-Efficacy, and Motivation
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
Students’ perceived self-efficacy and motivation in the context of experiential high school career education was examined through an exploratory mixed methods case study of an elective experiential career education class offered in Saskatchewan public schools. Data were generated by having students (N = 14) complete two measures at the start and end of the semester: the Career Decision-Making Self-Efficacy Scale—Short Form (CDMES-SF) (Taylor & Betz, 1983) and an adapted motivation questionnaire (Kerner, 2011). Classroom assignments, curriculum documents, and interviews with the instructor and two of the students provided further sources of data. Qualitative data were analyzed thematically and quantitative data were analyzed using dependent-t-testing. Significant differences in CDMSE-SF scores were identified and common themes emerged across the qualitative data. Findings are discussed as they relate to social cognitive theory, self-determination theory, and implications for practice and future research.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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