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Record W2128434675 · doi:10.1177/1460458205050682

Towards a collaborative learning environment for children’s pain management: leveraging an online discussion forum

2005· article· en· W2128434675 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

VenueHealth Informatics Journal · 2005
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsKnowledge managementVariety (cybernetics)Collaborative learningTeam learningKnowledge sharingPsychologyMedical educationComputer scienceMedicineCooperative learningPedagogy

Abstract

fetched live from OpenAlex

Effective management of pediatric pain requires proactive and effective collaboration between health practitioners from a variety of health disciplines. This article investigates the merits of a collaborative learning environment to address the knowledge gaps experienced by a community of pediatric pain practitioners. We present a knowledge management solution that leverages an online discussion forum as a collaborative learning environment rooted in team members sharing experiences, offering support to solve problems, guiding members to information/knowledge resources, informing peers about clinical practice guidelines, and simply seeking advice on matters pertaining to pediatric pain management. Team interactions, via the discussion forum, will be captured and represented as a social network to provide useful insights into the dynamics of team collaboration and to identify the patterns of knowledge flow amongst the team members.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.889
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
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 head0.119
GPT teacher head0.399
Teacher spread0.279 · 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