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Record W1944551479 · doi:10.18740/s4qs3f

‘You Are Here’: an interview with Dorothy E. Smith

2011· article· en· W1944551479 on OpenAlexaffvenue

Bibliographic record

VenueSocialist studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSociologyPolitical scienceManagementEconomics

Abstract

fetched live from OpenAlex

feminism • institutional ethnography • Marxism • texts • sociology for people Mots-clés Dorothy E. Smith • féminisme • ethnographie institutionnelle • marxisme • textes • sociologie pour tousDorothy Smith is a world-renowned Marxist feminist scholar and activist and a formidable intellect.Her decades of scholarly and activist contributions combine a lively sociological imagination with unfailing rigour, inspiring and challenging academics, professionals and 'ordinary' women and men to consider how social relationships and power are organized in everyday life.She is the author of many ground-breaking articles and books, including The Everyday World as Problematic: A Feminist Sociology (1987), Texts, Facts, and Femininity: Exploring the Relations of Ruling (1990), Writing the Social: Critique, Theory and Investigations (1999) and Institutional Ethnography: A Sociology for People (2005).She is best-known for her creation of institutional ethnography (IE), a method of inquiry she originally characterized as a 'sociology for women' but has since recrafted as a 'sociology for people'.Dorothy Smith was educated at the London School of Economics (B Sc.1955) and did her doctoral studies at Berkeley, California (PhD 1963).Following several years as lecturer at Berkeley and then the University of Essex, she became associate professor and later professor at the

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0140.008
Scholarly communication0.0030.008
Open science0.0010.003
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0060.001

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 head0.149
GPT teacher head0.358
Teacher spread0.209 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2011
Admission routes2
Has abstractyes

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