Bibliographic record
Abstract
Abstract: The purpose of this essay was to put the Scottish king and war hero, Robert the Bruce on trial based on the model of the Ted-Ed miniseries ‘History on Trial’. The overarching argument is explored through a dialogue between the prosecutor and defendant of Robert and centres on how Robert Bruce should be remembered; either a Scottish nobleman fueled by personal ambition or a good, strong-willed king who did what was best for his kingdom and people. Both sides present evidence surrounding Bruce’s dedication to his personal ambition to becoming king which included murder and is contrasted by the clemency he should to his rivals/enemies upon becoming king. This leads to a critical approach on the nature of Robert’s loyalty during the early period of Scottish War for Independence and his later uncompromising drive to see Scotland become independent. The nature of how Robert achieved independence is also brought under scrutiny with the suffering he brought to the English and Irish populations. Concluding remarks on Robert’s verdict express the difficult nature of how to accurately remember national heroes and in ensuring a balance between the good and bad sides of them.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".