Some People Aren’t People on the Inside
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
So-called alternative online niche communities are prone to ridicule, derision, and dismissal owing to the challenges they pose to prevailing onto-normativities, those ingrained modes of thought that dictate how we describe reality. Relying on the divergent approaches of classic SWOT analysis and post-structuralist philosophy and queer theory, this chapter explores how online connectivity shapes expressions of one niche community, the Otherkin. Otherkin are conceived as flows of desire, difference, and becoming rather than as a marginalized sub-culture occupying virtual space. As such, Otherkin are queering and destabilizing established norms in ways that call forth radically new ethics, aesthetics, ontologies, epistemologies, and social connections. This chapter relies upon Otherkin online texts and expressions to make the case that such destabilizations are essentially creative acts and that online connectivity affords Otherkin strengths and opportunities as well as revealing weaknesses and representing threats to their niche community.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| 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