Not All Who Wander Are Lost: Redefining Career Exploration and Indecision in Undergraduate Students
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
Inspired by a Tolkien quote, “Not All Who Wander Are Lost,” the authors introduce the concept of career wandering in the context of undergraduate student development. Proposing an alternative to traditional linear career trajectories, we conceptualize a dynamic approach that embraces nonlinear paths, indecision, and adaptability in a rapidly changing labor market. Drawing from our experience as educators, we define career wandering by integrating principles of lifelong learning, flexibility, chance events, and openness to diverse experiences. We explore the implications of career wandering for student affairs professionals, emphasizing the need for supportive, inclusive environments that encourage exploration and holistic student development. Addressing potential critiques, we acknowledge the challenges of equity and accessibility, and the need for intentional institutional support. Ultimately, the career wandering approach aligns with the evolving nature of work and promotes a more inclusive and adaptable model of career development in higher education.
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 | 0.000 | 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) | 0.000 | 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