Strategies for the Resolution of Identity Ambiguity Following Situations of Subtractive Change
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 applies the concept of identity ambiguity to the individual level of analysis, suggesting that identity ambiguity will likely follow certain scenarios of change in which an essential target of one’s identification is abruptly lost. This temporary absence of identification has thus far been understudied, and it is proposed that individuals perceive it as a negative experience, in which opportunities for reidentification are uncertain and unclear. It is further proposed that they will be driven to overcome this identity ambiguity through one of four distinct strategies. The choice of which strategy to adopt is moreover said to be influenced by the interaction between opposing factors: the strength of one’s organizational identification prior to the change and the degree to which the new setting is perceived as prestigious, distinct, and with values that are congruent to one’s personal values. Finally, a discussion of theoretical and managerial implications is provided.
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.
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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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