Ambos lados: deconstructing identity, performing memory
Bibliographic record
Abstract
Project Barca's central research question -how can embodied personal and collective memories be shaped into new architectures of identity and belonging in the form of innovative performance works that speak to wider sections of society?-has so far generated a number of mixed-media performance outcomes in its two research locations; Barcelona, Catalonia, and Vancouver, Canada.Some major works are the video essay Encounters 3; Barca-El otro lado -a performance work that utilizes dancers, actors, musicians and media designers resident in Barcelona, Spain; Here be dragons -a work staged exclusively with performers in Vancouver, Canada; and Here be dragons/Non plus ultra (HBD/NPU) -which brings together separate casts from both cities.HBD/NPU was premiered in Vancouver on January 10th 2013 at the Fei and Milton Wong Experimental Theatre, Goldcorp Centre for the Arts.All three stage works draw generously from the performers personal stories to articulate the research objectives.This paper addresses the 're-routing' thematic of the Barcelona 2013 conference by problematizing the phrase 'going west to find east/going east to find west', a direct reference to Christopher Columbus' 1492 voyage across the Atlantic.It also uses Performance Studies and PaR as navigational constructs in a parallel voyage of exploration and discovery.We present here an abridged version of the mixed-mode paper created for the Performance as Research Working Group, within the IFTR 2013 conference.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.028 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".