Bibliographic record
Abstract
Chapter 4 examines the idea of the ‘forgotten army’. Whether in the Middle East or Macedonia, soldiers during the war were absolutely certain that their part in the conflict – their suffering, as explored in Chapter 1, and their contribution to the wider war effort, such as the liberation of Palestine or Mesopotamia, as shown in Chapter 3 – had gone unnoticed by the home front. In some ways worse was their fear that those at home had badly misrepresented the war outside the Western Front, recognising the only ‘real’ war as the one being fought in France and Flanders while those in the Middle East and Macedonia were on a ‘picnic’. Again, the Western Front was foremost in the minds of soldiers away from it. This fear became more serious in the war’s final two months, as soldiers in the British Salonika Force (BSF), alongside their French, Greek, and Serbian allies, forced the surrender of Bulgaria, while the Egyptian Expeditionary Force’s (EEF) northwards drive to Aleppo knocked out the Ottomans. In both cases, soldiers in Macedonia and the Middle East argued that it was their campaign that had set in motion the downfall of the Central Powers and, ultimately, the armistice with Germany and an end to the war.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.030 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.028 | 0.006 |
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".