Encountering Berlant part one: Concepts otherwise
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
Abstract In Part 1 of ‘Encountering Berlant’, we encounter the promise and provocation of Lauren Berlant's work. In 1000‐word contributions, geographers and others stay with what Berlant's thought offers contemporary human geography. They amplify an encounter with their work, demonstrating how a concept, idea, or style disrupts something, opens up a new possibility, or simply invites thinking otherwise. The encounters range across the incredible body of work Berlant left us with, from the ‘national sentimentality’ trilogy through to recent work on negativity. Varying in form and tone, the encounters exemplify and enact the inexhaustible plenitude of Berlant's thought: fantasy, the case, love, impasse, feel tanks, slow death, ellipses, gesture, attrition, intimate public, ambivalence, style. Part 2 of ‘Encountering Berlant’ focuses on Berlant's most influential concept: ‘cruel optimism’. Across these heterogeneous encounters, Berlant's enduring concern with the tensions and possibilities of relationality and how to enact better forms of common life shine through. These enduring concerns and Berlant's commitment to the incoherence and overdetermination of phenomena are summarised in the Introduction, which also explores how Berlant's work has been engaged with in geography. The result is a repository of what an encounter with Berlant's thought makes possible.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 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) | 0.018 | 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