Differentiation Levels of College Students: Effects on Vocational Identity and Career Decision Making
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 study assessed the effects of differentiation levels on the career development of college students. Participants were 231 college students who completed the Differentiation of Self Inventory (Skowron & Friedlander, ), My Vocational Situation (Holland, Daiger, & Power, ), the Career Decision Profile (CDP; Jones & Lohmann, ), and demographic questions. The results supported the hypotheses that higher levels of the various components of differentiation would predict higher levels of vocational identity and fewer difficulties with career decision making. In particular, lower levels of emotional cutoff and emotional reactivity and higher levels of “I position” predicted higher levels of vocational identity and career decision making. Results suggest a more complicated picture for fusion, with higher levels being predictive of lower levels of decisiveness but not significantly related to vocational identity. Implications of the results for career counselors are provided.
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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 | 0.001 | 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