Forum on Laura Zanotti, Ontological Entanglements, Agency, and Ethics in International Relations: Exploring the Crossroads (Routledge, 2019)
Bibliographic record
Abstract
This forum addresses Laura Zanotti’s Ontological Entanglements, Agency, and Ethics in International Relations: Exploring the Crossroads, a landmark work for quantum International Relations (IR) that seeks to demonstrate the critical purchase of quantum thinking for exploring novel worldview. Interveners question the value added by the quantum turn in IR theory, both as it related to critical and broader debates. Zanotti’s particular intervention – drawing on a wide variety of themes in social theory, peace studies, feminist theory, metatheoretical debates in IR, international organisations, international development, and beyond – is approaches from the perspective of feminist theory, affect theory, temporality, philosophy of social science, and critical theory. In the spirit of exploring the crossroads, this forum brings together different lines of thinking that intersect through Ontological Entanglements but also extend onward, opening provocative questions for future scholarship in critical quantum IR.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.012 | 0.015 |
| Insufficient payload (model declined to judge) | 0.036 | 0.011 |
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".