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Record W4385727119 · doi:10.32920/23929095

The roles of government and non-governmental actors in settlement and integration in Québec

2023· preprint· en· W4385727119 on OpenAlexaffabout
Paul Bachellerie, John Shields, Valerie Preston

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsImmigrationSettlement (finance)Government (linguistics)Economic growthPhenomenonPopulationPolitical scienceBirth rateDevelopment economicsSociologyBusinessEconomicsResearch methodologyLaw

Abstract

fetched live from OpenAlex

Immigration to Canada is generally seen as a very positive phenomenon by the country and its people. Indeed, the country is faced with demographic dynamics such as a declining birth rate and an aging population that immigration is helping to counter. Canada has also seen the arrival of new people to its territory as a means of ensuring its economic, social and cultural development. The welcoming and integration of immigrants is therefore a real concern for institutions to ensure that newcomers feel comfortable in Canada and that the society as a whole benefits from their knowledge and skills. Canadian integration is often compared to a two-way street: on the one hand, Canada has resources to offer to immigrants so that they integrate and benefit from their new country, and on the other hand, Canada tries to adapt to these immigrants to learn from their experiences abroad and from their cultures, while simultaneously, ensuring they fully participate in the country's economic, social and civic life.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.959

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0210.010
Scholarly communication0.0080.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.000

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 head0.011
GPT teacher head0.238
Teacher spread0.226 · 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
Published2023
Admission routes2
Has abstractyes

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