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
Indigenous young adults experience disproportionately high rates of unemployment, which are exacerbated by systemic factors such as poverty and oppression (Britten & Borgen, 2010). Despite these challenges, many Indigenous young adults do well in their educational and employment pursuits (Bougie et al., 2013). This study explored what helped and hindered the career decision-making of 18 Indigenous young adults in Canada who see themselves as doing well in this regard. Using the Enhanced Critical Incident Technique (ECIT), a qualitative research method which focuses on helping and hindering factors (Butterfield et al., 2009), 13 categories were identified: (a) Family/Relationships & commitments, (b) Setting goals/Taking initiative/Focusing on interests, (c) Support from community/mentors, (d) A healthy way (physical, mental, social), (e) Finding meaning/motivation & contributing, (f) Networking & who you know, (g) Systemic/External factors (institution, job-market, sexism, racism, interpersonal aspects), (h) Financial situation, (i) Knowledge/Information/Certainty, (j) Experience (work/life), (k) Educational opportunities/Training & specialized education, (l) Indigenous background/Cultural factors, and (m) Courage & self-worth (vs. fear/doubt in self/others). These categories highlighted the systemic, interpersonal, and experiential processes in career decision-making for Indigenous young people in Canada. Implications for career counselling practice and future research are also discussed.
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 | 0.000 |
| 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