An Invitation from the Displaced: Refuge Restaged in <i>The Jungle</i> and <i>As Far as My Fingertips Take Me</i>
Bibliographic record
Abstract
Tania El Khoury’s audience-of-one performance piece As Far as My Fingertips Take Me and Joe Murphy and Joe Robertson’s play The Jungle, produced and developed by Good Chance, are twenty-first-century productions that foreground the medial affordances of performance art and drama to foreground Western audiences’ relationships and responses to refugees. I propose a taxonomy of the strategies used in these two works as a model for analyzing theatre and performance about refugees. These strategies are classified in terms of the responses they seek to elicit from the audience, and my analysis explores some of the tactics used to achieve these goals. Remedial strategies counter harmful stereotypes about refugees; transformative strategies challenge and reshape basic conceptions of self, other, nation, and citizenship; and ethotic strategies reorient the audience to consider their relationship with refugees, particularly with respect to their disparate identity positions, mutual responsibility, and interdependence. Fingertips and The Jungle are substantially different artworks but are able to achieve similar results by utilizing the different affordances of their respective mediums. Thus, the taxonomy of strategies provides a more systematic and precise way of analyzing how refugee drama and performance achieve their goals. It avoids being overly prescriptive in how these goals should be achieved and instead recognizes how exploiting different tactics and medial affordances can advocate for refugees and other migrants.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".