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Record W2799409868 · doi:10.3138/ctr.174.013

Map of the Land, Map of the Stars

2018· article· en· W2799409868 on OpenAlexvenueaboutno aff
Christine Clarke, Geneviève Doyon, Patti Flather, Andrameda Hunter, Leonard Linklater, Yvette Nolan, Michelle Olson, Aimée Dawn Robinson

Bibliographic record

VenueCanadian Theatre Review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousHarmony (color)Harmony with natureHistoryGeographyEnvironmental ethicsSociologyVisual artsArtEcology

Abstract

fetched live from OpenAlex

Before the highways, Yukon peoples freely travelled the rivers and trails, guided by the stars and their knowledge of the land. The play is about searching for our stories, gathering them, honouring them. It celebrates people’s deep connections between the land and the sky, which go back thousands of years for Yukon First Nations—the Indigenous people who lived here first. This play happens in many times and places. The audience time-travels back and forth with the seven performers to hear stories, songs, and dances from different times and people. This play explores how major events disrupted people’s way of life on the land. The Klondike Gold Rush was one. Thousands of stampeders came to the Yukon hoping to get rich. The building of the Alaska Highway during World War II brought more incredible changes to Yukon people. It also was very hard for the American soldiers who had to build it, many of them young African-American men. Some stories are about the colonization of Indigenous people: “the process where one group imposes its values and cultural beliefs on another group over time.” The laws, religions, and residential school system’s painful effects on families are part of these stories. The play also looks at how people come together in positive ways. Many fall in love with this land, and people already living here, and start new lives together. With this play, we’re trying to search for a good trail forward together, with reconciliation and harmony, for all of us.

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)0.000
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 score0.834
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.241
Teacher spread0.226 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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Same venueCanadian Theatre ReviewSame topicCanadian Identity and HistoryFrench-language works237,207