Bibliographic record
Abstract
Sabinar is a multimedia installation that explores the relationship between self and environment, bridging physical and virtual realms through 3D volumetric captures, video, animation, and an immersive soundscape. Inspired by my personal experience, the work engages with the transformations triggered by a persistent sense of rootlessness that I have encountered after migrating from Colombia to Canada. Through the metaphor and embodied experience of becoming the Sabina tree (Árbol del Viento), the work reflects on identity, resilience, and the female body’s connection to ancestral roots, displacement, and an ongoing personal metamorphosis. By intertwining my memories with ancestral narratives, this project re-imagines how one inhabits the world, not as a fixed state but as an evolving process shaped by adaptation and reconnection with the environment. In the exhibition space, the installation includes two (Juniperus phoenicea.T)2 branches, a Canadian relative of the Sabina tree (Juniperus Canariensis).3 This presents a bridge between geographies and identities, an evolving family tree, a connection with the place I inhabit now and the home of La Sabina. Visually and spatially, the installation employs multiple layers, including a translucent screen (Sharkstooth Scrim), animated projections, and dynamic shadows, to construct a dreamlike environment that evokes the sense of being simultaneously present in multiple realities. A large-scale video projection illuminates the suspended screen, the back gallery wall, and the Juniperus branches with its light. This interplay creates ghostly, holographic echoes of Sabina’s metamorphosis: as a woman, as a tree, as an entity, and as a landscape.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.560 | 0.389 |
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".