MétaCan
Menu
Back to cohort
Record W2606310090 · doi:10.3138/cpp.36.3.377

The Politics of the Census: Lessons from Abroad

2010· article· en· W2606310090 on OpenAlexvenueaboutno aff
Debra Thompson

Bibliographic record

VenueCanadian Public Policy · 2010
Typearticle
Languageen
FieldMathematics
TopicCensus and Population Estimation
Canadian institutionsnot available
Fundersnot available
KeywordsCensusPoliticsPolitical scienceGeographySociologyDemographyLawPopulation

Abstract

fetched live from OpenAlex

In late June, Minister of Industry Tony Clement announced the government's decision to elimin ate the mandatory long form of the 2011 Census and replace it with a voluntary survey to be sent to one-third of Canadian households. decision was reportedly made by Prime Minister Stephen Harper last December and has largely been framed by Conservative cabinet ministers as an import ant change to safeguard the privacy of Canadians. They maintain that the state has no business in the bedrooms of society, or, more specifically, that the state has no business asking Canadians how many bedrooms they have in their places of residence. Prime Minister's Office has stated, The government made this decision because we do not believe Canadians should be forced, under threat of fines, jail, or both, to disclose extensive private and personal (Valpy 2010). Clement, the minister responsible for Statistics Canada, argued before a parliamentary committee on 27 July that though the information gathered in the long form is valuable, a balance must be drawn between collecting data and the privacy rights of Canadians.

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)0.021
metaresearch head score (Gemma)0.055
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.055
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0080.010
Scholarly communication0.0120.008
Open science0.0020.004
Research integrity0.0040.010
Insufficient payload (model declined to judge)0.0120.002

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 head0.052
GPT teacher head0.347
Teacher spread0.295 · 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
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

Citations21
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Public PolicySame topicCensus and Population EstimationFrench-language works237,207