Bibliographic record
Abstract
The following is a transcript of an interview conducted by Dr Asijit Datta (SRM University-AP, India) of Prof Jonathan Boulter (Western University, Canada) for a webinar called ‘Samuel Beckett, Spectres and Posthuman Spaces’ that was held over Zoom on November 27, 2020. This interview between two Beckett scholars is an attempt to locate the positions and meanings of the aspects of home/space/refuge for the abandoned, destitute characters in the works of Samuel Beckett. Beckett’s homeless wanderers are in the condition of the neither, a space that is only motion without direction. Beckett’s physical reduction of his characters and their necessary expulsion from home are explored through the lens of Heidegger’s notion of ‘thrownness’ or Geworfenheit. ‘Thrownness’ precedes the idea of homelessness and is the precondition of being. For Heidegger, in a reductive way, directionality and disseverance characterise the human, but the Beckettian moments of movement and walking, without purpose, are absent from Heidegger. Beckett tends to point towards the origin of the subject without a ground or all necessary groundedness. The colloquy concludes with a discussion concerning the condition of the posthuman in Beckett. To face the Beckettian posthuman is to confront a discursive posthumanity.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.031 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| 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".