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Record W2211659081

Performing the Komagata Maru : Theatre and the Work of Memory

2015· article· en· W2211659081 on OpenAlexaffvenueabout
Anne Murphy

Bibliographic record

VenueStudies in Canadian Literature · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSouth Asian Studies and Conflicts
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsImmigrationDominionConversationGovernment (linguistics)General partnershipMedia studiesEvent (particle physics)HistoryLawSociologyVisual artsArtPolitical scienceLinguistics
DOInot available

Abstract

fetched live from OpenAlex

This essay explores a performance of commemoration of the “ Komagata Maru incident,” an event named for a ship that was the centre of controversy in 1914 when it arrived in the port of Vancouver bearing 376 would-be immigrants to Canada from British India. Most of the passengers on the ship were disallowed from entering Canada under three orders-in-council passed by the Dominion Government that amended Canada’s Immigration Act, as a part of a broader move against Asian immigration in the period. The essay focuses on a production developed and performed for the centenary of the arrival of the Komagata Maru out of a partnership between the Departments of Asian Studies and Theatre and Film at UBC; Rangmanch Punjabi Theatre , based in Surrey; and Srishti Institute for Art, Design and Technology in Bangalore, India. The production wove together selections from three Canadian theatrical representations of the event: “The Komagata Maru Incident” by Sharon Pollock (1976; in English), “The Komagata Maru” by Ajmer Rode (1984; in Punjabi), and “ Samuṅdarī sher nāl takkar ” or “Conflict with the Sea Lion,” co-authored by Sukhwant Hundal and Sadhu Binning (1989; in Punjabi). The plays, in conversation, act as a lens through which we can see how memory produces the present, and how the performed past creates possibilities for creative engagement with the present and future.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.850
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.317
Teacher spread0.274 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2015
Admission routes3
Has abstractyes

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