Side-by-Sidedness: A Conceptual Rethinking of Post-Peace Agreement Encounter
Bibliographic record
Abstract
Between the poles of conflict and reconciliation are the complex and simple interactions of the everyday. This article introduces the conceptual development of ‘side-by-sidedness’ – a form of ‘lightened encounter’ that is civilly inattentive to differences and divisions, thus contributing to improved relationships between individuals in violent protracted conflict. Emerging from a case study centred on the supporters of the Belfast Giants ice hockey club, this concept is developed around shifts in identity, encounter and space that occur through the willingness to sit side-by-side across historical divisions at ice hockey games without a necessary willingness to live side-by-side the person in the seat next to you. The case study is utilised as an unorthodox meeting point – the ice hockey arena of Northern Ireland sits outside the disputed histories in the region and yet offers a banality in the inclusion of the ‘other’. Side-by-sidedness thus lies between the narratives and imagery of a divided past and that of a reconciled, hand-in-hand future, instead identifying the willingness to share space as a means of ‘getting on with it’ in everyday Belfast.
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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 | 0.016 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.022 | 0.130 |
| Scholarly communication | 0.029 | 0.040 |
| Open science | 0.005 | 0.022 |
| Research integrity | 0.006 | 0.011 |
| 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".