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Record W2904619940

Multiculturalism in Canada (1971-2017): a Social Reality or a Political Policy?

2017· dissertation· en· W2904619940 on OpenAlexaboutno aff
Fatima Zahra Benarbia

Bibliographic record

VenueDépôt Institutionnel de lUniversité de Tlemcen · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismPoliticsPolitical scienceSociologyPolitical economyPublic administrationGender studiesLaw
DOInot available

Abstract

fetched live from OpenAlex

This dissertation deals with the history of multiculturalism and diversity in Canada. Multiculturalism can be differently defined, and investigated on from different fields. Canada's Prime Minister, Pierre Elliott Trudeau marked the starting point of Multiculturalism as a policy in 1971, and at the same time announcing how socially Canadian society was for real diverse ethnically, racially, and linguistically. Notwithstanding, the historicity of Multiculturalism socially before being politically adopted. Further than this, Multiculturalism , is investigated on both politically and socially between 1971 and 2017 to find out how it is either or both, a social reality and a political policy; emphasizing on the rule of two leaders of a similar family name, and of a strong kinship . Therefore, to discover the acts they reinforced in order to protect freedom of faith and basic rights of equality of all under the law .Nevertheless, to make unity within diversity of Canadian society.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.255
Threshold uncertainty score0.864

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0300.012
Scholarly communication0.0090.002
Open science0.0010.004
Research integrity0.0020.004
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 head0.035
GPT teacher head0.300
Teacher spread0.265 · 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 designQualitative
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
Published2017
Admission routes1
Has abstractyes

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Same venueDépôt Institutionnel de lUniversité de TlemcenSame topicCanadian Identity and HistoryFrench-language works237,207