The Bearded Ones: Dwelling in a History of Radicalism, Authenticity, and Neoliberalism
Bibliographic record
Abstract
Beards are a sort of dwelling. Much like Heidegger's linguistic play with related etymologies of building and dwelling, beards are in a constant state of becoming, forever changing length, shape, and color. To the person—usually, but not always, a man—who grows a beard, the end product is always projected out into the future, like Heidegger’s concept of being. The beard is trimmed and groomed constantly; it is cultivated in a way that feels authentic to its wearer. But the same ontological problems that Heidegger applies to dwelling in a home also apply to beards. Long facial hair symbolizes wisdom in many cultures, but anyone who has grown a beard can attest to the existential dilemma of long facial hair. I didn’t recognize you with the beard, someone will say. Beards can serve as symbols of erudition, yes, but they are also masks for our social selves. The beard is, after all, is a curious appendage, as it is an extension of the self, but not the self per se. Herman Melville called beards “suburbs of the chin.” If, like Heidegger, we are to see being as not a fixed entity divorced from other beings, but a being-in-the-world, a set of relations among other beings, then beards are not simply static accessories or styles, but an example of the slippery nature of being itself.
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.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.066 |
| Scholarly communication | 0.011 | 0.013 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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".