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Record W2946608046 · doi:10.1177/1468795x19849702

Erving Goffman’s presidential address on ‘The interaction order’: Rhetorical combat and the display of vocational commitment

2019· article· en· W2946608046 on OpenAlexaff
M Michael Rosenberg

Bibliographic record

VenueJournal of Classical Sociology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsConcordia University
Fundersnot available
KeywordsSociologyRhetorical questionDramaturgyEpistemologyMainstreamOrder (exchange)Vocational educationFrame analysisAestheticsMedia studiesSocial scienceLawPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Erving Goffman’s posthumously published essay, ‘The interaction order’, which was to have been presented as a presidential address at an annual meeting of the American Sociological Association, is usually taken to be an attempt at a systematic summary by Goffman of his key ideas. This article suggests the address can also be understood as a profoundly personal and deeply scornful critique by Goffman of the varieties of mainstream sociology and the pretensions of its practitioners. Incorporated into that critique is a simulacrum in which Goffman demonstrated what a systematic treatment of his work might look like had he actually been inclined to generate one. In that respect, ‘The interaction order’ transcends the boundaries of what we ordinarily expect to find in an academic address: it is simultaneously an artful display of Goffman’s real vocational commitment to sociology, a contribution to the rhetorical debate in which he engaged with the practitioners of orthodox versions of sociology and a brief but significant demonstration of some aspects he considered distinctive about his own form of sociology.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.013
Scholarly communication0.0060.007
Open science0.0010.002
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.065
GPT teacher head0.366
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

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