Pathways of Purpose: Longitudinal Research on Careers and Meaningful Work
Bibliographic record
Abstract
This symposium explores the pursuit of meaningful work over time, focusing on how individuals and organizations foster, sustain, and adapt this sense of purpose throughout careers. Drawing on longitudinal research, the symposium examines how personal experiences, career transitions, and organizational factors shape perceptions of meaningful work. Presentations span qualitative and quantitative methodologies, offering nuanced insights into the subjective and structural elements that influence career trajectories. These presentations collectively illuminate the interplay between individual agency, external forces, and the pursuit of meaning through work and provide a foundation for understanding how perceptions of meaningful work evolve, the strategies individuals adopt to maintain fulfillment, and how organizations can support sustainable career paths. Privilege, Serendipity and Career Success: The Case of Elite MBA Graduates Author: Hannah Weisman; Harvard Business School Author: Leslie Perlow; Harvard Business School Call Me Maybe: The Calling Alignment Model Author: Shoshana Dobrow; London School of Economics and Political Science Author: Jennifer Tosti-Kharas; Babson College Author: Hannah Weisman; Harvard Business School Downshifting at Work: Journeys of Self-Learning Born from Quests to Work Less Author: Megan Gorges; Harvard Business School Promoted Out of or Away from Passion? How Nurses Navigate Promotions from Patient Care to Management Author: Solomiya Draga; Harvard Business School Author: Jon Michael Jachimowicz; Harvard Business School When Meaningful Work Meets Organizational Change: A Longitudinal Study of Employees’ Perceived Work Meaningfulness During a Merger Author: Shawn Chan; INSEAD Author: Yuna Cho; Sungkyunkwan University Author: Winnie Jiang; INSEAD Author: Lucas Dufour; Toronto Metropolitan University Author: Arnaud BANOUN; ESC Clermont Business School
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.
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 | 0.004 | 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 | 0.000 | 0.001 |
| 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 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".