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Record W322763794 · doi:10.20361/g2p30w

Munsch at Play Act Two: Eight More Stage Adaptations by I. Watts & R. Munsch

2012· article· en· W322763794 on OpenAlexvenueaboutno aff
Sarah Polkinghorne

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)Style (visual arts)Performance artArtCharacter (mathematics)Visual artsArt historyLiteratureHistoryComputer scienceArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

Watts, Irene N., and Robert Munsch. Munsch at Play Act Two: Eight More Stage Adaptations. Illus. Michael Marchenko. Toronto: Annick, 2011. Print. Which child should inhabit the role of the protagonist Andrew (“No, no, no, no, no”) in “I Have to Go”? What could be used to make the “sound” in “Jonathan Cleaned Up — Then He Heard a Sound”? How could you dress the titular character of “David’s Father” so that everyone can tell he’s a giant? Munsch at Play Act Two will have your imagination firing with questions such as these. As with the original Munsch at Play, this volume gives readers/thespians eight of Robert Munsch’s tales transformed into stage plays for young performers. Readers familiar with Munsch’s live performances will recognize his distinct rhythmic and participatory elements within Watts’ adaptations. Readers will also enjoy Michael Martchenko’s kinetic illustrations, in his style so well-known from so many Munsch storybooks. Having said this, plays are to be performed on the stage, not just admired on the page. Irene N. Watts’ adaptations succeed for a variety of reasons. The stories have been thoughtfully selected and adapted to provide the variety that makes this sort of book worthwhile. There are stories that can be performed with a finite handful of players, such as “I Have to Go,” and there are stories whose castings can expand as much as you like, including “Pigs,” in which you may include “any number that the pigpen can accommodate.” Watts also includes detailed, approachable notes about staging. She tells readers about suitable spaces for staging each play, such as “works well as a theatre in the round” (“Show and Tell”). She also provides exhaustive lists of sets, costumes, and props for each play. Most stories require quite a few props, but these are often indicated as optional, and could be scavenged, made into a craft project, or conjured via imagination. Watts’ supporting documentation (lists, guidance, and recommendations) lessens the effort involved with getting each play “up on its feet.” This enables everyone involved to focus on the excitement of stories and vocal participation. It’s not likely that anybody will say “No, no, no, no, no” to Munsch at Play Act Two. Highly Recommended: 4 out of 4 starsReviewer: Sarah PolkinghorneSarah is a Public Services Librarian at the University of Alberta. She enjoys all sorts of books.

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 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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.514
Threshold uncertainty score0.998

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)0.0030.000

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 head0.016
GPT teacher head0.252
Teacher spread0.236 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2012
Admission routes2
Has abstractyes

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