Networks as Self-Defense: Identity and Compensatory Network Activation (WITHDRAWN)
Bibliographic record
Abstract
We argue that social networks function as more than pipes and prisms that transmit tangible and intangible resources interpersonally: they also serve people’s intrapersonal goals of identity maintenance. Three experiments considered how identity primes affected people’s representations of their networks. People who received feedback that disconfirmed their gender (Study 1) and political/ideological (Study 2) identities, subsequently recalled, or cognitively activated, networks that were smaller, denser, more emotionally supportive, more likely to be composed of people they have known for longer, and more likely to be composed of people associated with their disconfirmed identity. While identity-disconfirming information unsurprisingly triggered negative affect, people who then cognitively activated the types of networks mentioned above reported elevated moods. These results are indicative of an affirmational, compensatory function of (cognitive) social networks that allows people a psychological respite from situations that disaffirm self-perception. A final study (Study 3) investigated how this psychological process could affect more instrumental networking goals such as information search. By utilizing networks to serve identity-related goals, people may distort and block the network pipes that service effective network mobilization.
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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 | 0.000 | 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 | 0.001 |
| 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".