Mobility Spaces: Geographical and Professional Distances in Career Mobility
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
This article introduces the novel concept of “mobility spaces” to investigate the role of geographical and professional distances in career mobility and how they are influenced by social structural factors. Mobility spaces encompass physical, social, and legal spaces that professionals navigate while shaping their career trajectories over time. The study focuses on the movement of professionals across mobility spaces and examining the constraints and opportunities affecting their career paths. Using empirical data on the mobility of Hong Kong law firm partners from 1994 to 2021, the article demonstrates that social structural factors such as gender, race and ethnicity, firm origins, and firm prestige significantly influence the geographical and professional distances that professionals manage to traverse in their career moves. The mobility spaces theory aims to use space to contextualize the interplay between individual and macrostructural factors in shaping professional career outcomes.
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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 | 0.005 | 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 | 0.003 |
| 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