Bibliographic record
Abstract
The sociologist Erving Goffman (1922–1982) became noted for his contributions to the study of interaction in everyday‐life situations. Goffman's The Presentation of Self in Everyday Life is one of the “books of the century” according to the International Sociological Association (ISA) poll, and has been translated into many other languages. He was not a psychologist and he did not contribute directly to psychology as a discipline, hence few psychological social psychologists cite him in their work. The social psychological study of everyday life by sociologists contributes to the qualitative sociological study of social psychology, but is rejected by many quantitative psychologists. Goffman is best known for emphasizing the “presentation” of one's self in public places. He differentiates the sociological “front stage” of public life from the “back stage” of one's private life. His approach was eclectic, but as an astute observer he noticed subtle nuances of interaction patterns that others did not see. He has been criticized for too often changing his key terms and for not always making a consistent argument from one book to another. He was consistent in his method, often called a “dramaturgical approach” because it involves seeing the world as a stage. Goffman remains one of the most widely read sociologists and he is often seen as a leading symbolic interactionist theorist.
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 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.104 | 0.034 |
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".