The Possibility of the Possibility of Something New: The Subject and Fidelity to the Event in Love and Politics
Bibliographic record
Abstract
Our chapter interrogates the conditions that give rise to the possibility of the Event and proposes a Lacanian-Badiouian perspective to think through conditions for the truth procedures of love and politics. First, we situate the Event, Possibility and Truth in both Badiou and Lacan, which brings forward conceptual tensions between truth and knowledge as presented in the psychoanalytic act. We propose with Badiou and Lacan that the emergence of possibility follows a logic that rupture compulsive repetition and whose effect is precisely the Event which results in knowledge of a savoir faire, of transmissible quality, that grant re-inscription (a new writing of the necessary) and/or a partial inscription of the impossible. The notion of love as beyond narcissism, allows us to discuss how to reimagine politics anew, including approaching it through the problem of ecology.
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How this classification was reachedexpand
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".