Bibliographic record
Abstract
Narrative approaches to International Relations have steadily increased in popularity in recent years. As narrative has gained further acceptance among other methodological traditions in International Relations, it has also provoked questions about the sort of restrictions that should be placed on academic writing in general and narrative writing in particular. Narrative approaches have faced challenges that ask whether they allow room for critique or if they necessarily turn into standpoint epistemologies. This author views narrative approaches as both valid and necessary in addition to the stable of other methods utilised in International Relations scholarship. However, in order for narratives to contribute effectively, they must be subject to critique. This article proposes two questions that both authors and readers should ask when engaging with narrative: 1) Does the narrative disrupt notions of congruity in political thought? Does it bring to light contradictions that may otherwise be ignored? 2) Does the narrative make room to incorporate those who have been excluded from political science discourse? Through asking these questions, International Relations scholars who utilise narrative approaches can open the field to novel lines of inquiry.
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".