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Record W2133884596 · doi:10.1177/0891241606299030

On Studying Ethnologs (Not Just People, Societies in Miniature)

2007· article· en· W2133884596 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Contemporary Ethnography · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicPragmatism in Philosophy and Education
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsIntersubjectivityEthnographySociologyPragmatismEpistemologyProcess (computing)Cognitive sciencePsychologySocial scienceAnthropologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Because language is so central to community life, everyone who acquires a language effectively becomes an ethnolog or a “society in miniature.” This is because language does not just consist of sounds and their referents but is interconnected with all realms of knowing and acting within the community. Moreover, even in achieving some rudimentary degree of intersubjectivity with the other, one begins to access the broader, historically accomplished, and actively engaged resources of human group life. In discussing ethnologs as instances of societies in miniature, the author not only attends to (a) the processes, functions, and “whatness” of language but also considers (b) how ethnologs routinely assume roles as ethnographers, historians, philosophers, pragmatists, moralists, and politicians; (c) memory as a socially enabled, humanly engaged process; and (d) the necessity of using ethnography, history, and comparative analysis for achieving a more genuine, informed, and productive social science.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.098
GPT teacher head0.308
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