Morality, Affect, and Reputation in the Making of a Motivated Social Self
Bibliographic record
Abstract
Despite the prevalence of symbolic interaction’s theory of the self, alongside alternative implicit models in dual-process and practice theory, sociology continues to struggle with incorporating affect into models of the self. To address this gap, we distinguish between the conventional sociological understanding of Goffman’s self as cynical and masked and an alternative construct we excavate by paying close attention to negative cases like Goffman’s Asylums and Stigma. This alternative theory of self treats self and situation not as one-sided but as mutually constitutive. Unlike most models of self, our alternative is continuously motivated by humans’ desire to maintain reputation within a given situation; reputation making is dependent on the situation, and its ceremonial rules provide the context for the self’s realization of affective rewards. After considering how reputational claims around ceremonial rules reveal an affectively driven, moral self, we consider the theoretical and methodological implications of the theory for major strands within symbolic interactionism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".