Bibliographic record
Abstract
Historians of social science from Anthony Giddens forward have ably chronicled Erving Goffman's legacy. Goffman's resonant book titles alone hint at the Dickensian acuity of his social close-reading: The Presentation of Self in Everyday Life (1956), Behavior in Public Places (1963), Interaction Ritual (1967), Frame Analysis: An Essay on the Organization of Experience (1974), and Forms of Talk (1981). I envy newcomers the opportunity to read pieces like “On Cooling the Mark Out” (1952) and “Where the Action Is” (1967) with fresh eyes. Goffman, born in 1922 in Alberta, Canada, to Ukrainian parents, attended the University of Manitoba and the University of Toronto before receiving a PhD in sociology from Chicago. His fieldwork was in the Shetlands, and Asylums: Essays on the Condition of the Social Situation of Mental Patients and Other Inmates (1961) and Stigma: Notes on the Management of Spoiled Identity (1963) were both written after a period of ethnographic immersion at St. Elizabeth's mental hospital in Washington, DC. It may help first-time readers to know that as an adolescent he had a “special aptitude for noticing details of people's interpersonal conduct”; also that “his Chicago classmates nicknamed him ‘the little dagger’ because of his talent for the pointed personal comment. Sometimes, they felt, he never knew when to stop.”
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.013 |
| Insufficient payload (model declined to judge) | 0.008 | 0.004 |
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".