Career Counselling at the Middle School Level: A Case Study
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
Among the national standards stressed by The American School Counselor Association (1997) is the academic and career development among all students. In other words, it is essential that students understand the connection between academics to the world of work. Although 18 percent of Canada's high school students drop out of school (Canadian Centre for Adolescent Research, 2000), current data indicate that 9.4 percent of American high school students drop out of school (United States Department of Commerce, 2003). Since the unemployment rate of high school dropouts in Canada is 55 percent (Little, 2003) and 18 percent in the United States (United States Department of Commerce), it is necessary for students, especially at the middle school level, to understand the relevance of learning to their future career choice. These high school dropouts are confronted with barriers preventing them from succeeding in the world of work. Thus, at-risk students must develop skills that will adequately prepare them for career options and make them more desirable to future employers (Legum & Hoare, 2004).
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 | 0.003 | 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 | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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