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Record W1590893294

Wiki as a Tool for Web-based Collaborative Story Telling in Primary School: a Case Study

2005· article· en· W1590893294 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueNPARC · 2005
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsWorld Wide WebStory tellingWeb applicationComputer scienceMultimediaPedagogySociologyNarrativeArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

Wikis are simple to use collaborative hypertext authoring systems. In recent years, these systems have caught the attention of the education community, because they embody many aspects of personal empowerment and communication between learners. To date, most work on Wiki in education has focused on use for information creation and sharing by students at the post-primary level. In this paper, we present a case study where primary level students (Grade 4-6) used a Wiki for collaborative storytelling. The paper reports on our experience with this activity in the course of 5 semesters since 2002, each semester comprising 9 hours of class time. The paper reports observations on the collaborative process that took place during the activity. It also describes the activity in sufficient detail to allow a technically sophisticated teacher to use it in the classroom, and makes recommendations on how Wiki could be improved to better support collaborative storytelling by young children.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.544

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)0.0000.000

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 head0.044
GPT teacher head0.388
Teacher spread0.344 · 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