A Sense of Wonder: An A/r/tographer’s Musings on Seeing and Being in the World / Un sentiment d’émerveillement : réflexions d’un a/r/tographe sur l’observation d’un monde et sa place en ce monde
Bibliographic record
Abstract
Abstract: This paper examines ways of seeing the world differently through the eyes of an a/r/tographer (artist, researcher, teacher). It addresses how I see the world phenomenologically, pedagogically, poetically, and artistically (as a photographer), and how my seeing the world through these varied-yet-connected lenses influences my way of being in the world. The structure of the paper echoes this way of seeing through the various lenses of research, reflection, poetry, and photography.Keywords: A/r/tography; Phenomenology; Poetry; Pedagogy; Art; Wonder. Résumé : Cet article analyse les diverses façons de percevoir le monde selon le point de vue d’un a/r/tographe (artiste, chercheur, enseignant). J’y propose ma vision phénoménologique, pédagogique, poétique et artistique du monde (en tant que photographe) et explique comment cette perception du monde à travers ce prisme varié mais interconnecté, influence ma façon d’être au sein de cet environnement. La structure même de l’article s’inspire de cette perception des choses à travers le prisme de la recherche, de la réflexion, de la poésie et de la photographie.Mots-clés : a/r/tographie, phénoménologies, poésie, pédagogie, art, émerveillement.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.026 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".