A Balkan journey a photographic journey through the towns and cities of post conflict former Yugoslavia
Bibliographic record
Abstract
A Balkan Journey is a Visual Arts project in the form of an exhibition and a book of photography and essays, alongside interactive international and local events. Chris Leslie takes us on a photographic journey through the towns and cities of post-conflict Former Yugoslavia in this extensive and previously unseen 24-year archive from the region. This collection of work will showcase his earliest photographs from a war-ravaged Croatian town in 1996, through to the present-day Sarajevo of refugees and migrants trapped in limbo. 2020 marks a quarter of a century since the end of the conflict, but the region and Europe continues to struggle with conflicting ideologies. A Balkan Journey, presented as a Visual Arts project, will provide a crucial moment of reflection at this time, both for viewing public and for the artist at a pivotal moment in his life and career. It will provide us with a penetrating insight into the human stories behind one of the most influential periods in modern European history. Working alongside writer John McDougall, the project will include an exhibition at SOGO Gallery in Glasgow, a book of the photographs and accompanying background and stories, seven public events across Scotland and Sarajevo, and a website and social media campaign. The book and website include Bosnian / Croatian translations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.006 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".