The Amaya AR Project: An Augmented Reality Documentary of the 2018 Nicaraguan Resistance.
Bibliographic record
Abstract
The Amaya AR Project is an Augmented Reality documentary; through my own personal experience from within the Nicaraguan diaspora, I bring to Toronto the story of Amaya Coppens, a Belgian-Nicaraguan political prisoner incarcerated in 2018 and still in jail as of March 21, 2019. The documentary is experienced in the physical space of Lisgar Park in Toronto through a hand-held mobile device and headphones. In this thesis document, I argue that different communities and sectors in Nicaragua are part of what Michael Hardt and Antonio Negri define as the commons, which network to form the multitude leading the April 2018 civic Uprising in Nicaragua. I have compiled a media archive of viral photos and sounds from Nicaragua since April 2018, drawing from impromptu citizen journalism including viral images and sounds circulated on social media, television, newspapers, magazines and radio as events unfolded. Through a research-creation methodology, I experiment with this source material in Augmented Reality (AR). The approach to editing material in the archive is informed by Hito Steyerl’s essay “In Defense of the Poor Image,” leaning into the glitchiness, blurriness and low-quality of the viral content to express the affects of the situation in Nicaragua. The installation of the Amaya Project in Lisgar Park in downtown Toronto supports an embodied experience and solidarity between locations through the medium of AR. By evoking two spaces and realities at the same time, AR is used to creatively bring radically different worlds together, evoking my contemporary experience in the Nicaraguan diaspora.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".