MétaCan
Menu
Back to cohort
Record W2892230812 · doi:10.17161/iallt.v48i0.8576

Collaboration Two-Way

2018· article· en· W2892230812 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

VenueIALLT Journal of Language Learning Technologies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCohesion (chemistry)GermanWorkloadGrammarVocabularyPerspective (graphical)Collaborative writingPsychologyComputer scienceAffect (linguistics)Quality (philosophy)Product (mathematics)LinguisticsMathematics educationArtificial intelligenceMathematicsCommunicationEpistemology

Abstract

fetched live from OpenAlex

Collaborative writing has been found to lead to more productive writing processes and enhanced final products in terms of a richer vocabulary, more accurate grammar, and better organization. The present study expands on this research strand by exploring if different group writing processes affect the quality of wiki texts composed by groups of intermediate German L2 learners. Defining true collaborative writing as involving both a balanced workload and a joint responsibility for the product from all group members, it measured collaboration in two ways. Results indicate that most of the 19 groups in this study had a somewhat unbalanced workload with wide variability in editing group members’ contributions. Although the wiki texts differed greatly with regard to quantitative measures of length, accuracy and cohesion, no correlation was found in terms of workload or co-ownership. While holistic ratings of the texts concerning accuracy and cohesion seemed at times incongruent with the analytic measures, the raters’ comments provided a perspective that captured facets and nuances of a text that the analytic indicators did not.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.363
Teacher spread0.351 · 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