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Record W7050578186

On the Rocks

2017· dissertation· en· W7050578186 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2017
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsLiminalityShadow (psychology)MythologyPoetryShoreLandlocked countryPuppetry
DOInot available

Abstract

fetched live from OpenAlex

On the Rocks is a one-woman poetry-theatre hybrid project about a woman’s quest for self-discovery. MERMAID, a landlocked prairie woman is shocked to learn that things aren’t exactly as they seem when GRANDMOTHER, on her deathbed, reveals that her “legs aren’t really legs.” So, MERMAID ventures to Eastern Canada to uncover the secrets of her maternal history. Her travels lead her to the water, where she dives into a whole new world of knowing. GRANDMOTHER and the poetry of Adrienne Rich serve as guideposts for MERMAID as she uncovers the origin myths of mermaids from around the world. She discovers that her own experiences mirror those of the women in these folk-stories and of women today; MERMAID discovers that she is not alone in her experiences navigating sexual assault. Using spoken word poetry, On the Rocks discusses hybridity, bisexuality, trauma, healing, depression, myth, and maternal lineage: the proverbial shoreline or liminal space. Using projections, shadow puppetry and live performance, On the Rocks creates a modern mythical world where MERMAID can finally find her fins.

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)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.004
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0830.020

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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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
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
Published2017
Admission routes1
Has abstractyes

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