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Record W4408211726 · doi:10.1017/9781009539616.028

The Right to Freedom of Thought in Canada

2025· book-chapter· en· W4408211726 on OpenAlexaboutno aff
Dwight Newman

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook-chapter
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Although section 2(b) of the Canadian Charter of Rights and Freedoms specifies the fundamental freedoms of ‘thought, belief, opinion and expression, including freedom of the press and other media of communication’, only freedom of expression has been developed by the courts. These forgotten freedoms include freedom of thought. This chapter demonstrates how Canada’s own constitutional text and history supports a new recognition of freedom of thought that would overcome a recent history of forgetting this constitutional freedom. Canada’s own constitutional case law, read creatively, contains the seeds of a framework for freedom of thought, with upcoming potential to put arguments before the courts in cases where significant litigation efforts will be made. This chapter sets how the Canadian Charter protects specific elements of the right which are mental privacy, mental liberty and mental autonomy. The contemporary debate within the present international discussion generates an intellectual atmosphere and comparative case law that can support a remembering of the forgotten freedom of thought.

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)0.002
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 score0.104
Threshold uncertainty score0.757

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.019
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0100.001

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 head0.030
GPT teacher head0.232
Teacher spread0.201 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicNeuroethics, Human Enhancement, Biomedical InnovationsFrench-language works237,207