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Record W4254462054 · doi:10.1017/cbo9780511782152.004

Bearing Witness

2010· book-chapter· en· W4254462054 on OpenAlexaff
Allan C. Hutchinson

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsYork University
Fundersnot available
KeywordsWitnessBearing (navigation)Computer sciencePolitical scienceLawArtificial intelligence

Abstract

fetched live from OpenAlex

In modern societies, there are considerable feats of compromise that need to occur if a democratic government is to exist and thrive. Although power ultimately resides in the people and their representatives, it is important that this power is not exercised in a way that is willful or arbitrary. In particular, a commitment to genuine democracy demands that the majority is not permitted to ride roughshod over minorities. Any mode of responsible government, therefore, needs to maintain a series of checks and balances so that the frequently diverse and occasionally contradictory interests of different groups are maintained in political equilibrium. Among other things, this means that both popular sovereignty and political accountability must be combined in a stable and effective compact of just governance. It often falls to the law to map out a detailed way for the ship of state to negotiate these difficult seas. This is often an unenviable task that places the courts at the very center of various political storms. In the history of democratic governance, the judges have been thrust on to center stage and have been cast in the alternating roles of heroes and villains. Indeed, as societies become more fractured and governments become less tolerated, the courts are called on, for good and bad, to be the preferred venue of last resort. Less actors and more authors, they rewrite society's constitutional and institutional script as they follow it. A key notion at the heart of these engagements is the Rule of Law. On its fiftieth anniversary, a Canadian case points up the challenges and pitfalls to be faced in ensuring that this vital, if contested, principle of political democracy retains its relevance and bite.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.235
Threshold uncertainty score0.788

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0060.006
Open science0.0010.007
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.2350.078

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 head0.056
GPT teacher head0.259
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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
Published2010
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicPolitical Philosophy and EthicsFrench-language works237,207