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Record W3154560079 · doi:10.26522/tg.v6i1.2640

The Personal Ambitions of a National Hero

2021· article· en· W3154560079 on OpenAlexaffvenue
Adam Williamson

Bibliographic record

Venuethe general brock university Undergraduate journal of history · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsBrock University
Fundersnot available
KeywordsHEROScrutinyIndependence (probability theory)Argument (complex analysis)LawLoyaltyVerdictIrishHistoryPeriod (music)SociologyPolitical sciencePhilosophyArtAestheticsLiterature

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.205
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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