Tiny Sparks Everywhere: Birch Bark Biting as Land-Based Dramaturgies
Bibliographic record
Abstract
In this article, Lindsay Lachance reflects on her term ‘land-based dramaturgies.’ Land-based dramaturgies may involve physical interaction with land and waters or may be invoked philosophically in developing the process’s framework, and/or practitioners may look to creation stories and language structures as land-based resources. Through defining and highlighting some land-based processes performed by Monique Mojica (Guna and Rappahannock) and herself, she demonstrates how some Indigenous theatre artists are exploding notions of ‘the well-made play.’ As an Algonquin Anishinaabe theatre artist, Lachance looks to birchbark biting as a starting point when building a dramaturgical process. This article paddles down a river, exploring how individuals and collectives investigate and actually use cultural material, objects, familial teachings, and place as artistic collaborators when creating theatrical works. To conclude, the article describes how Lachance navigated working with land-based principles during an online play development workshop of Yolanda Bonnell’s (Anishinaabe) My Sister’s Rage during the COVID-19 pandemic.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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; both teacher heads agree on what is shown here.
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".