MétaCan
Menu
Back to cohort
Record W4308573791 · doi:10.21991/cf29448

From Isolation to Inclusion: How the Charter Changed our Perceptions of Being and Belonging

2022· article· en· W4308573791 on OpenAlexvenueaboutno aff
Satya Brata Das

Bibliographic record

VenueConstitutional Forum / Forum constitutionnel · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCharterInclusion (mineral)MainstreamIdentity (music)Political scienceIndigenousConstitutionSociologyHuman rightsIsolation (microbiology)Diversity (politics)MainstreamingGender studiesLawAesthetics

Abstract

fetched live from OpenAlex

The Canadian Charter of Rights and Freedoms is an indispensable catalyst in shaping Canadian identity, forming a rich and diverse mainstream that integrates and intermingles many streams of human experience. The idea of Canada and what it means to be Canadian is dynamic and evolving, empowered by a Charter that arguably for the first time recognized and affirmed Indigenous peoples as the founding nations of Canada, and nurtured a sense of inclusion that promoted unity in diversity. Just as emergence from the Covid-19 pandemic has been a journey from isolation to inclusion, so has the forging of Canadian identity since the adoption of the Constitution Act, 1982. Drawing from stories shared in a circle aux batons-rampus, and from observations from a four-decade career as a public intellectual, I argue that Canadians’ evolving sense of being and belonging, brought into even sharper relief by the Covid-19 pandemic, is shaped by a Charter which embraced both individual and collective rights.

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)0.011
metaresearch head score (Gemma)0.013
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.540

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0660.081
Scholarly communication0.0220.009
Open science0.0020.010
Research integrity0.0030.011
Insufficient payload (model declined to judge)0.0040.000

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 head0.284
Teacher spread0.263 · 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
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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueConstitutional Forum / Forum constitutionnelSame topicSocial Sciences and GovernanceFrench-language works237,207