Bibliographic record
Abstract
Our ways of seeing, of being, of knowing in the world are shaped by relationship. These relationships reflect the complex dynamic that exists as we navigate between the living layers of human nature, desire, loss, connection and disconnection, certainty and uncertainty. Across the space of this piece, I seek to breathe, to move with observant awareness through emotion and cognition. I want to acknowledge the deep sense of absence that reverberates across my consciousness, an absence that is both spiritual and etymological. This absence reflects the complexity of my subjectivity as a mother, an educator, one who navigates within the narrative of colonization, and a synchronicity of spirit that transcends self. It is through the breath that I find myself in rhythm, connected to the land—spirit, (be)longing with/in (un)certainty. Poetry, prose, and photographs intermingle upon the pages, offering an assemblage of being, of (un)knowing, of breathing amidst (im)permanence. This work creates space for me to better know myself as scholar, teacher, mother—as one who lives upon a stolen, sacred landscape, while creating openings for dialogue, disruption, and praxis.
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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.016 | 0.015 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.332 | 0.378 |
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".