Bibliographic record
Abstract
"Bird and Line" is an artistic inquiry into the relationship between a deep state of artistic consciousness and the act of drawing a line to arrive at the form of a bird. This inquiry further proposes that by using line as a mode of research, the artist begins to perceive the consciousness of a bird and the relationship it shares with its form. For me, the embodied and porous experiences of watching and knowing birds through the practice of working with "line" as an artistic element allow for an intimacy of experiencing and an unfolding of intersubjectivity. Artistic inquiry also acts as an investigation into self-awareness and self-realization in this space of making eco-art. These acts of being lead me into reflections on how perception and creativity are melded together during creative moments to allow for a porous consciousness to emerge and perform the act of drawing a bird. As an artist working with text, movement, and image, I embed questions on the ethics of creativity into how we evolve our lines of art, as well as encounter other beings. By unraveling the relationship between the inner and the outer through Indian aesthetic philosophy, I evolve methods for eco-art practice using line as an element. I emphasize the importance of artistic research with a framework of Indian aesthetics as a way of deepening our perception and relationships with the natural world. This article is written to make artistic processes visible through a reflective auto-ethnographic approach. I write in a non-linear reflective narrative to comprehend cultural ontologies that drive my practice, unfolding internal thought processes, directions of research, and moments of mystical experience.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".