Of Modernity’s Boundaries, Border-Runners and Toll-keepers
Bibliographic record
Abstract
oundaries have always been a part of how people have understood and made sense of their environment.The most fundamental kind of boundary comes in the form of natural geography, which imposed physical boundaries which were either impossible, or difficult, to cross before the advent of modern transportation.By contrast, the imposition of social order represents another kind of boundary.In the attempt to establish order, social organizations have always demarcated their spheres of power, influence and activity, thus implementing and setting up cultural boundaries.And on a psychological and spiritual level, boundaries between imagination and reality, between life and death and between the seen and unseen, have never ceased to intrigue and obsess humankind.Liminality, and hence the recognition of boundaries is what anthropologists call a common human experience; 1 1 Victor Turner, The Ritual Process.Structure and Anti-Structure (Chicago: Aldine, 1969).But before striding frontiers on the track to the West would become the symbol of American territorial expansion and its transgressive ideology, distant places offered themselves 2
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.031 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".