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Record W2907808334 · doi:10.26522/tl.v12i1.447

Five Poems: Artistic Pedagogy of the Migrant Soul

2018· article· en· W2907808334 on OpenAlexaffvenue
Snežana Ratković, Kari‐Lynn Winters, Shannon Kitchings, Shihui Yang, Brianna Spratt, Neelofar Ahmed, Sajitha Vinod

Bibliographic record

VenueTeaching and Learning · 2018
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsUniversity of TorontoNiagara CollegeBrock University
Fundersnot available
KeywordsDramaSociologySoulPoetryDanceIndigenousPedagogyAestheticsEmbodied cognitionConstruct (python library)Citizen journalismVisual artsArtLiteratureEpistemologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Between November 2016 and November 2017, a group of creative scholars, international, and domestic graduate students gathered to explore topics related to immigration and Indigenous culture through artistic practices. The goal was to construct scenes that would be put together to build a play. The scenes were shaped in different ways, through poetry, music, literature, movement/dance, and drama. In this way, playbuilding became our methodology. Through semiotic, social, and critical authorship practices the actors engaged in a dynamic and participatory drama. Schools and classrooms might consider using an artistic, embodied pedagogy, such as the artistic pedagogy of the migrant soul explored in this paper, to engage elementary and secondary students in active, thoughtful approaches to understand diverse and critical issues, including forced migration, marginalization, truth and reconciliation, and co-existence.

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)0.003
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.012
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.051
GPT teacher head0.408
Teacher spread0.357 · 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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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