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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 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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.897
Threshold uncertainty score1.000

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 studies0.0010.009
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 head0.021
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 teacher head, not a consensus.

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

Citations3
Published2021
Admission routes2
Has abstractyes

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