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Dent, Nancy Lima (1919–2013)

2018· book-chapter· en· W4246504887 on OpenAlexaboutno aff
Carolyne Clare

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsDanceChoreographyBalletDance improvisationVisual artsContemporary dancePerforming artsArtConcert danceModern danceArt historyPerformance artJazz danceHistory

Abstract

fetched live from OpenAlex

Nancy Lima Dent helped to establish modern dance in Toronto. She initially studied with Rita Warne and Boris Volkoff, and later was a student of modern dance luminaries Doris Humphrey, José Limon, Martha Graham, Charles Weidman, Pearl Primus, and Katherine Dunham. Starting in 1946, Dent worked as a performer and choreographer with the Toronto-based Neo Dance Theatre (renamed the New Dance Theatre in 1949). In 1960, Dent established her own dance company, the Nancy Lima Dent Dance Theatre. The company received positive critical reviews for their performances in prominent Toronto theaters including Hart House Theatre and the Centre Stage Theatre. Dent participated in three Canadian Ballet Festivals and she helped to found the Festival Evening of Modern Dance Festival in 1960. The festivals were well attended and critics noted that Dent’s choreography was especially engaging. In general, her choreographies highlighted personal expression, drew upon several modern dance techniques, and grappled with the political and ethical questions of her day. Dent was also a highly appreciated dance teacher who taught in various Ontarian cities for diverse types of students. She presented dance on television, and while recovering from an injury, she served as an effective administrator in various industries.

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)0.000
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 score0.064
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0640.013

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 head0.049
GPT teacher head0.293
Teacher spread0.244 · 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 routes1
Has abstractyes

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