Are we still anthropologists if we go to space using only our imaginations?
Bibliographic record
Abstract
In this chapter, filmmakers/writers/anthropologists Ceridwen Dovey and Rowena Potts explore the value of ethnographic imagination and experimentation for an anthropology of outer space. Through critical reflections on the process of making the Outer Space Film Quartet, a series of short films co-created with their Archival Futures Collective film colleagues, Dovey and Potts explore some of the methods and approaches that shaped the emergence of each film. They identify an ethnographic method that is premised less on traditional fieldwork and relies more on activating an anthropological way of seeing. They challenge the reader to think of their films – which combine poetry, found footage, montage, and surrealistic, speculative elements – as producing an ethnography of the diverse landscapes in which outer space has been imagined, objectified, and finds expression; an ethnography of a particular range of human visual imaginations of outer space over time and across media.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.009 | 0.018 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".