The Effect of Social Variables on the Career Aspirations of Indigenous Adults in New Brunswick
Bibliographic record
Abstract
A recent survey of Indigenous peoples in New Brunswick by the Joint Economic Development Initiative Inc. (JEDI) collected data regarding social factors that influence career aspirations. These social variables included: gender, marital status, education level, social welfare dependency, and mobility. These variables were analyzed for their significant differences with career aspirations, measured by O*Net Job Zones. A final data set of 202 survey respondents was used for data analysis. The results aligned with Gottfredson’s theory of compromise and circumscription as preparation showed a significant effect with career aspirations. Factors outside of that framework, including marital status, gender, social dependence, and mobility, were also analyzed. The findings showed that women participants had greater career aspirations than men, and that less mobile participants had higher career interests. Implications for Indigenous career development theory, future research, and career counselling are discussed.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".