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Record W2790177171 · doi:10.20361/g20q2n

The Tongue Twister Tournament by N. Kanellos

2018· article· en· W2790177171 on OpenAlexvenueaboutno aff
Stephanie Borle

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLiteracy and Educational Practices
Canadian institutionsnot available
Fundersnot available
KeywordsTongueTournamentShadow (psychology)First languageTip of the tongueComputer scienceLinguisticsPsychologyPhilosophyMathematicsCombinatorics

Abstract

fetched live from OpenAlex

Kanellos, Nicolás. El Torneo De Trabalenguas = The Tongue Twister Tournament. Illustrated by Anne Vega, Arte Publico Press-Piñata Books, 2016.This is a children’s picture book that takes the form of a tongue twister competition. Each page introduces a contestant and the tongue twister (in both English and Spanish) that they are reciting in the competition. Sometimes, the translations of the tongue twisters lend themselves to very different meanings depending on the language. On the left page of each pair are the tongue-twisters. On the facing page, a surreal, cartoon-like illustration of the contestant is shown. Each illustration integrates elements of the tongue twister. The illustrations also incorporate visual jokes, especially in the shadows behind each participant. For example, Grumpy Granny, the second competitor, presents a tongue twister about a cat whose “tail was on the wrong end”. The cat in the picture has a normal tail, but the cat in the shadow has a tail on the wrong end. Forte Fortisimo, the strongman competitor reciting a tongue twister about cockroaches has a cockroach as his shadow. The book concludes with an anthology containing tongue twisters in their original languages.This is an elementary level book that would be useful for language learning, enunciation and elocution practice in both English and Spanish. The tongue twisters would be appropriate for both first and second language learners. Children can have fun trying the tongue twisters themselves, or a class could have its own tongue twister tournament. This kind of interactivity helps children be more engaged in language learning.I recommend this book for public libraries and elementary school libraries, particularly where there are Spanish speaking populations. Highly Recommended: 4 stars out of 4Reviewer: Stephanie BorleStephanie Borle is a University of Alberta student of linguistics who enjoys working with children and new immigrants. She spent a year teaching English as a Second Language in Japan to kindergarten and junior high school students.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.060
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0600.030

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 head0.011
GPT teacher head0.340
Teacher spread0.329 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2018
Admission routes2
Has abstractyes

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