Noninstitutionalized Work-Role Transitions: Antecedents, Processes, and Outcomes
Bibliographic record
Abstract
In contemporary professional landscapes, people frequently undergo diverse work-role transitions, encompassing shifts between jobs, careers, or professions (macro-role transitions), traversing the boundaries of concurrently held roles (micro-role transitions), or redefining their perception of a current role (intra-role transitions). These transitions occur within specific social and historical contexts that prescribe normative scripts dictating the initiation, progression, and expected outcomes of role changes. However, people increasingly engage in noninstitutionalized role transitions, deviating from established norms and diverging from mainstream career trajectories. While holding, to date, only limited scholarly attention, preliminary empirical findings suggest noninstitutionalized transitions to offer enriching experiences and pose challenges for individuals. This symposium explores noninstitutionalized work-role transitions across various magnitudes (i.e., macro, micro, and intra-role transitions). We inquire into the nature of noninstitutionalized work-role transitions (i.e., their types and defining characteristics), their antecedents (i.e., the motivations behind people opting for them), their unfolding processes (i.e., the mechanisms in their progression), and their psychological and career-related outcomes (i.e., their impact on people’s identities, social connections, careers, and well-being). By delving into these aspects, our symposium contributes to the advancement of research in this field, shedding light on how people, workplaces, and society can effectively navigate and manage noninstitutionalized work-role transitions. Coping with Status Loss in Organizations: A Qualitative Study of Migrants’ Status-Related Identity Author: Viktoriya Voloshyna; Thompson Rivers U. Author: Jelena Zikic; York U. Dynamics Between Established and Emerging Professional Identity in an Intra-Institutional Transition Author: Katja Wehrle; Justus-Liebig U. Giessen Author: Mari Kira; U. of Michigan, Ann Arbor Author: Ute-Christine Klehe; Justus-Liebig U. Giessen A Professional and Parent: Making Work-Life and Career Changes When Transitioning to Parenthood Author: Christine Deborah Bataille; Ithaca College The Mental Health and Well-Being Implications of Leading Two Lives in the Music Industry Author: Jessica Francavilla; Washington U. in St. Louis, Olin Business School Author: Heather Ciara Vough; George Mason U. Author: Matthew A. Cronin; George Mason U. Challenges of Developing Voice and Identity in Non-standard Work Author: Paula Mowbray; Griffith U. Author: Eva Selenko; Loughborough U. Author: Sarah Brooks; Sheffield U. Management School Author: Adrian John Wilkinson; Griffith U.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".