Exoskeletons, Transhumanism, and Culture: Performing Superhuman Feats
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article we study how exoskeletons are construed through three dominant but interrelated presentations: 1) popular science journalism, 2) advertisements of military innovation, and 3) blockbuster science fiction film. We address how these media function to alter attitudes about the future. The attitudinal framing of the exoskeleton asks that people aspire to transhumanism, and that they “imagine the possibilities in the near future of dramatically enhance[ed) human mental and physical capacities” [4). In this case, they are being encouraged to visualize a militarized future. More so, the rhetorical proposition calls upon people to identify personally with the technology. The rhetoric conveys a militarized identity through celebration, anticipation, and to an extent, panic. It unites excitement and fear through entertainment, but it also succeeds in distorting the conversation of what exoskeleton technology would actually mean in a nonfictional, socio-political, or military context. Michael, Fusco, and Michael [5) identify the “socio-ethics” concerning emerging inventions, as “the moral principles which govern a particular society at large.” We seek in our work to disclose some of the socio-ethical cultural manipulation conveyed through popular channels concerning exoskeletons.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it