The Ecology of Signals and Strategies in Labor Markets
Bibliographic record
Abstract
We propose that scholars can develop better insights into the human-capital-related phenomena inside organizations by focusing on factors and forces outside organizations. This requires theorizing and understanding market-level processes that are typically assumed away or delegated to the role of background context for acquisition and development of human and social capital. Yet, despite evidence that suggests the importance of taking a more ecological perspective, there is a dearth of theoretical and empirical work in management and organization theory that takes this market-level view of the human and social capital. The purpose of this symposium is to re-ignite work in this direction. The symposium accomplishes that by showcasing four excellent examples of the work on hiring, careers, and entrepreneurial career decisions, each taking the market-level perspective to understand decisions and outcomes at the individual and organization levels. When Industry Boundaries Cross Status Boundaries: Organizational Status and Mobility across Industry Presenter: Shinjae Won; U. of Illinois at Urbana-Champaign Presenter: Deepak Somaya; U. of Illinois at Urbana-Champaign Presenter: Michelle Rogan; Kenan-Flagler Business School, U. of North Carolina at Chapel Hill Quality Inference or Preference Coordination? Market-Level Convergence in Individual-Level Status Beliefs Presenter: David Tan; U. of Washington Presenter: Christopher I. Rider; U. of Michigan, Ross School of Business Bringing the Inside Out and the Outside In: How Hiring Processes Bridge Startup-Ecosystem Boundaries Presenter: Lisa Ellen Cohen; McGill U. Presenter: Marc-David Seidel; U. of British Columbia Occupational Licensure, Collective Legitimacy, and Entrepreneurial Entry Presenter: Roman V. Galperin; Johns Hopkins Carey Business School Presenter: John-Paul Ferguson; McGill U.
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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 | 0.001 | 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 | 0.000 |
| 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".