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Record W7014580577

Process Drama in the Virtual World - A Survey

2008· article· en· W7014580577 on OpenAlexaff

Bibliographic record

VenueSummit (Simon Fraser University) · 2008
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsNorthern Digital (Canada)
Fundersnot available
KeywordsNucleofectionTSG101PretextFusible alloyDiafiltrationProteogenomicsLiquationHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

Process drama is a form of improvisational drama where the focus is on the process rather than the product. This form of improvisational activities has been used extensively in many domains. Role play, for example, has been used in health therapy as well as for training health personnel. Creative drama is a form of process drama that focuses on the use of story dramatization techniques; it has been extensively used to promote language and literature skills as well as creative and critical thinking. In these domains process drama exhibit itself in physical space. Recently, there have been many advances in technology that allows process drama to be exhibited in virtual space. In this article, we look at the form and structure of process drama. We specifically discuss process drama, especially Creative Drama. We outline several key factors of process drama that affect its effectiveness as a learning vehicle, including involvement and reflection. Through this lens, we survey several cases of virtual process drama both as a single person experience as well as a multiuser internet-based virtual experience.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0040.007
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.061
GPT teacher head0.314
Teacher spread0.253 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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