Advancing Research on Identity Threat
Bibliographic record
Abstract
The purpose of this symposium is to provide an assessment of the current state of the identity threat literature as well as introduce new streams of research that are advancing this literature. The four papers bring together authors from Canada, France, Germany and the United States and include a literature review, a conceptual piece and two empirical studies - one qualitative and one quantitative. Identity Threat under Scrutiny: A Review and Future Research Agenda Author: Mailys George; EDHEC Business School Author: Heather Ciara Vough; George Mason U. Author: Christine Deborah Bataille; Ithaca College Am I Next? Vicarious Identity Threat Through Observed Workplace Interactions Author: Achira Sedari Mudiyanselage; U. of Cincinnati Author: Haoying Xu; Stevens Institute of Technology Author: Harshad Girish Puranik; U. of Illinois at Chicago Identity Threats, Threat Emotions, and Identity Work Among Workers Suffering From Post-COVID Author: Katja Wehrle; Justus-Liebig U. Giessen Author: Mari Kira; U. of Michigan Author: Ute-Christine Klehe; Justus-Liebig U. Giessen Introducing Expressed Occupationalism and Considering its Identity Implications Author: Pascale Fricke; U. of British Columbia Author: Danielle Van Jaarsveld; U. of British Columbia Author: David Douglas Walker; U. of British Columbia Author: Lingtao Yu; U. of British Columbia
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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".