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Record W4238073208 · doi:10.32920/ryerson.14653827

Overview of Employment Programs Available to Newcomers in Toronto and Their Role in Breaking Down Barriers to Employment

2021· preprint· en· W4238073208 on OpenAlexaffabout
Josina Myrie

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsImmigrationThematic analysisGovernment (linguistics)AccreditationPublic relationsBusinessInclusion (mineral)Political scienceService (business)Economic growthMarketingQualitative researchSociologyEconomicsGender studiesSocial science

Abstract

fetched live from OpenAlex

This research examines the systemic barriers faced by newly arrived immigrants to Canada in their job acquisition. A thematic content analysis of the government funded Job Search Workshop (JSW) and Employment Ontario Programs from twenty Service Provider Organizations (SPOs) was undertaken to respond to the following questions: How do these programs assist newcomers to overcome the barriers to labour market entry? What do these services offer that address the needs of newly arrived immigrants for access to employment? What are some of the factors that lead to their unsuccess? Social Inclusion theory was applied. Results indicate that the focus of both programs is on pre-employment preparation and making participants more ‘employable’. The systemic barriers of the accreditation process and racial/employment discrimination are still major areas that need to be given more attention.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.163
Threshold uncertainty score0.328

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.041
GPT teacher head0.333
Teacher spread0.292 · 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
Published2021
Admission routes2
Has abstractyes

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