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Record W2158064748 · doi:10.1177/0741088303260691

Tasks, Ensembles, and Activity

2003· article· en· W2158064748 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

VenueWritten Communication · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsComplementarity (molecular biology)Perspective (graphical)Activity theoryEpistemologySociologyLiteracyField (mathematics)Task (project management)Computer sciencePoint (geometry)Cognitive sciencePsychologyPedagogyArtificial intelligenceEngineeringMathematics

Abstract

fetched live from OpenAlex

This article is concerned with characterizing literacy activity as it is practiced in professional workplaces. Its starting point is activity theory, which grew out of the work of Vygotsky and has been subsequently elaborated in Russia and elsewhere. First, the authors propose that existing versions of activity theory are unable to account adequately for practical human activity in contemporary workplaces, and present a revised perspective that opens the way for new theoretical developments. Second, they elaborate two new constructs, task and work ensemble, and apply them to a short collaborative writing sequence collected in the field. Both constructs are seen to account in a substantive way for the structure of the composing activity carried out by the collaborators. They close with a discussion of the complementarity and theoretical advantages of the two constructs.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.089
GPT teacher head0.404
Teacher spread0.316 · 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