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Record W2903687909

Issue 04: Inventory of Services Provided to Immigrants and Refugees in the Waterloo Region

2013· article· en· W2903687909 on OpenAlexaboutno aff
Joel Reyes, Margaret Walton‐Roberts, Jenna Hennebry

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeImmigrationPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

In this issue of Policy Points we have provided an inventory and assessment of immigrant services providers currently delivered in the Waterloo Region. Local communities play an important role in the settlement of newcomers and their integration into society. Waterloo Region has the fifth-highest immigrant rate in Canada (Statistics Canada, 2007), and in 2009 the Kitchener Census Metropolitan Area (CMA) was 11th highest nationally in terms of the number of immigrants arriving, and the fourth-highest in Ontario (Citizenship and Immigration Canada, 2011). Furthermore, Waterloo Region is expected to have a significant increase in the immigrant population over the next decades (Maan Miedema & Vandebelt, 2006). A variety of non-governmental and governmental organization in Waterloo Region assist and support immigrants and refugees in their settlement process. The recommendations in this brief aim to address the future service needs of immigrants in the Waterloo Region.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.922

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.015
GPT teacher head0.258
Teacher spread0.242 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2013
Admission routes1
Has abstractyes

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