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Record W6990959769

Erving Goffman: Interaction and impression management: Playing the coaching role

2010· other· en· W6990959769 on OpenAlexaboutno aff

Bibliographic record

VenueNorthumbria Research Link (Northumbria University) · 2010
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsImpression managementCoachingPresentation (obstetrics)Frame analysisIdentity (music)Symbolic interactionismSocial relationSocial identity theoryEveryday lifeFrame (networking)
DOInot available

Abstract

fetched live from OpenAlex

Erving Goffman was born on 11 June 1922 in Alberta, Canada. He received his bachelor’s degree from the University of Toronto in 1949 and his Ph.D. in 1953 from the University of Chicago, where he studied sociology and social anthropology. During an academic career which took in positions at the University of Chicago, the University of California, Berkeley and the University of Pennsylvania, he pioneered the study of face-to-face interaction, or microsociology. Many consider his greatest contribution to be his formulation of symbolic interaction in his 1959 book The presentation of self in everyday life, although other influential and insightful texts include Stigma: Notes on the management of spoiled identity (1963), Strategic interaction (1969a) and Frame analysis: An essay on the organization of experience (1974). Through these and other works he developed an understanding of the way we convey social information through symbols and images, and how those images are incorporated into social expectations. He subsequently elaborated upon a ‘dramaturgical’ approach to human interaction in a detailed analysis of what he termed ‘the interaction order’. Indeed, interaction underpinned all of his work as, for Goffman, interactions were important rituals that worked to maintain moral as well as social order (Birrell & Donnelly, 2004). Consequently, his substantive contribution to social analysis (and, we would argue, sports coaching) lies in uncovering the everyday routine of social encounters, and how that impacts on personal identity (Smith, 2006). Erving Goffman died of cancer on 19 November 1982, aged sixty.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.690
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.003
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0030.004
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0020.002

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 head0.031
GPT teacher head0.298
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

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