Bibliographic record
Abstract
Rumi writes “Keep walking, though there’s no place to get to. Don’t try to see through the distances . . . move within” (Barks, 1997, p. 278). In this lyrical essay, I begin by enacting a walk I took with my mother along the ocean. I poetically dwell in a sensual phenomenological inquiry where I attune to the experience of this walk as it is unfolding: the images, the colours, the gestures, the scents, the sounds and the silences. Through the (re)telling of this pivotal event, I am then transported to the past, where I (re)enter a painful moment in a classroom. As in the line of the altering hues of the horizon that we walk alongside of, I relinquish to this line of inquiry. As I theorize this space in between the present and the past, I am brought to an epiphany and transcend both experiences into a renewed understanding of my pedagogical self. Here, I learn how the body holds the words; and in poetry as a physical, emotional, and spiritual walking through, I then enter into a place of light. The keen lessons of an encountering give in healing and meaning, illuminating the future with promise and with purpose.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.018 | 0.020 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.034 | 0.006 |
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".