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Record W4200287446 · doi:10.1017/9781009039406

Truth and Privilege

2021· book· en· W4200287446 on OpenAlexaffabout
Lyndsay Campbell

Bibliographic record

VenueCambridge University Press eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicLaw, Rights, and Freedoms
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPrivilege (computing)LawInterpretation (philosophy)Expression (computer science)Nova scotiaPolitical scienceCentralityFreedom of expressionSociologyHuman rightsPhilosophyEthnology

Abstract

fetched live from OpenAlex

Truth and Privilege is a comparative study that brings together legal, constitutional and social history to explore the common law's diverging paths in two kindred places committed to freedom of expression but separated by the American Revolution. Comparing Nova Scotia and Massachusetts, Lyndsay Campbell examines the development of libel law, the defences of truth and privilege, and the place of courts as fora for disputes. She contrasts courts' centrality in struggles over expression and the interpretation of individual rights in Massachusetts with concerns about defining protective boundaries for the press and individuals through institutional design in Nova Scotia. Campbell's rich analysis acts as a lens through which to understand the role of law in shaping societal change in the nineteenth century, shedding light on the essential question we still grapple with today: what should law's role be in regulating expression we perceive as harmful?

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0100.073
Scholarly communication0.0120.014
Open science0.0010.006
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.021
GPT teacher head0.212
Teacher spread0.191 · 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 designTheoretical or conceptual
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

Citations3
Published2021
Admission routes2
Has abstractyes

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