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Record W777106648

Andrew Griffith. Policy Arrogance or Innocent Bias: Resetting Citizenship and Multiculturalism

2015· article· en· W777106648 on OpenAlexvenueaboutno aff
Nelson Wiseman

Bibliographic record

VenueCanadian ethnic studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipMulticulturalismPoliticsIdeologyLawGovernment (linguistics)ImmigrationAnecdotePolitical sciencePublic administrationSociology
DOInot available

Abstract

fetched live from OpenAlex

Andrew Griffith. Policy Arrogance or Innocent Bias: Resetting Citizenship and Multiculturalism. Ottawa, ON: Anar Press, 2013. 120 pp. Notes. $14.99 sc. This slim but informative book sheds light on the understudied subject of the relations between political masters and their civil servants. Penned by a thoughtful former public servant who toiled on multicultural issues for three decades in the Departments of Canadian Heritage and more recently Citizenship and Immigration, Andrew Griffith offers a cautionary tale: when governments change, public servants must be prepared to jettison long held assumptions regarding operational as well as policy issues. Griffith witnessed the events associated with the shifting of responsibility for multiculturalism from one department to another. Public administration guru Gilies Paquet encouraged Griffith to write the book and Griffith delivers a trenchant case study in policy change management as a participant-observer. Some smartly titled chapters--Which Ideology Will that Be? Would That Be Evidence Or Anecdote? and So What Kind of 'Yes Minister' Will That Be? communicate competing worldviews. Elected in 2006, the Conservatives have been less sanguine than most civil servants about government as a positive force. Each side is convinced of its rectitude. One has a mandate to deliver on its platform promises and seeks to fulfil them; the other offers large-scale survey evidence and the lessons of its experience in the policy trenches. The current responsible minister and undisputed czar of multicultural policy, Jason Kenney, is a senior cabinet member trusted by the prime minister and less tethered than most ministers to the PMO's leash and talking points. He also wields substantial influence as chair of the cabinet's operations committee, which is tasked with the day-to-day coordination of the government's agenda including issues management and communications. He has had significant success in weaning new Canadians from their attachment to the Liberals and wooing them to the Conservative banner. According to Griffith, Kenney--once cloaked in a robe by a Filipino organization and crowned on a throne with a sash festooned across his chest proclaiming him the King of Multiculturalism--actually endeavours to deemphasize older approaches to multiculturalism policy and to strengthen his government's preferred narrative of Canadian citizenship. Kenney's determination to drive the bureaucracy and not be driven by it shines through. What emerges is this minister's strong sense of purpose, which precipitated trauma among his officials. They were surprised the Conservatives assumed power with ready-made answers and conclusions rather than questions. Civil servants did not appreciate the Conservatives' discomfort with long-standing multiculturalism and citizenship policies. For decades, bureaucrats had internalized the multicultural regime established by Pierre Trudeau's Liberals and extended by Brian Mulroney's Progressive Conservatives and their Liberal successors. The sharper ideological edge (21) of the new Conservative vision harkens back to some Reform party positions of the 1990s: doing away with the Department of Multiculturalism and thus deemphasizing Canadians' racial, cultural, and linguistic differences, i. …

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)0.001
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.423
GPT teacher head0.452
Teacher spread0.029 · 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
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

Citations7
Published2015
Admission routes2
Has abstractyes

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