Bibliographic record
Abstract
This article combines situational analysis with situationists dérive to weave a seemingly disjointed series of historical tableaux, materialities, marginalia, combustion and corporeal techniques in embryology, chemistry, geology, synthetics and magic. The double locus structuring this constellation is Hilde Proescholdt (1898–1924), a gifted German experimental biologist; and Abraham Gesner (1797–1864), Canadian physician, geologist and inventor of kerosene. Following Adele Clark’s SA research programme, I attend to situational maps recurring the experimental repertoires Gesner and Proescholdt with the material, social and artefactual historicities they environed. Through dérive, I narrate by displacement, cutting along the bias, rather than with the historical fabric. My aim is to contribute media ethology as variation on Robert Logan’s call for a broad spectrum media ecology that is agnostic to stable distinctions between content and container. I pay special appropriation to the signalling dynamics of the Spemann-Mangold organizer as an active media or, in complimentary phenomenal guise, Marshall McLuhan’s characterization of acoustic space as ‘all centres and no margins’. Proceeding through double-locus and doublemethod appropriates what Proescholdt’s supervisor, Hans Spemann, would have cautioned us against as bad magic by co-inducing interference between primary and the implanted organizing centres. Within the chapter, media ethology contributes a complex sum of SA+ dérive as a symmetrical mappings and non-obligate appropriations across inquiry and technique in the arts and the sciences. My discussion more broadly offers to enter debates on the relative merits and stakes for performative knowledge production and communication through the nexuses of art, science and technology studies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.269 | 0.071 |
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".