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Record W1607337037

Beyond Threaded Discourse

2001· article· en· W1607337037 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

VenueTSpace (University of Toronto) · 2001
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAsynchronous communicationPhenomenonPerceptionReflection (computer programming)Computer scienceComputer-mediated communicationDistance educationMathematics educationPedagogyPsychologyEpistemologyWorld Wide WebThe InternetTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

The educational potential of asynchronous, computer-mediated conferencing is well documented. Opportunities for increased group interaction, more equitable communication patterns, higher degrees of reflection, and time-and-place-independent discussions are some of the benefits cited by researchers. This article focuses on one of the apparent limitations of the medium: the lack of support for convergent processes. Threaded online environments support electronic conversations that expand and branch, but provide few facilities for drawing together discourse in meaningful ways. The implications of this restriction are explored in two studies. The first study analyzes the degree to which students and instructors write convergent notes (e.g., notes that synthesize or summarize ideas) in three graduate-level computer conferencing courses. The second study explores student perceptions relating to their own synthesizing and summarizing practices. The results suggest that online participants rarely engage in convergent processes in spite of widespread agreement that such efforts confer educational benefits. Possible explanations for this phenomenon are discussed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0680.000

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 head0.040
GPT teacher head0.359
Teacher spread0.319 · 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