MétaCan
Menu
Back to cohort
Record W2518130896 · doi:10.17583/rimcis.2016.1964

Neo-liberalism: Employability, and the Labor Market Mobility among Racialized Migrants- Canada's Study

2016· article· en· W2518130896 on OpenAlexaffabout
Kon K. Madut

Bibliographic record

VenueInternational and Multidisciplinary Journal of Social Sciences · 2016
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEmployabilityNeoliberalism (international relations)PoliticsPolitical scienceRetrainingLabour economicsMentorshipPsychological interventionSociologyEconomic growthPolitical economyEconomicsPsychology

Abstract

fetched live from OpenAlex

The paper discusses the effect of political paradigm on the path of career development and the predicament of employment outcomes among racialized migrants in Canada. The study highlights challenge of retraining, skills development and access to Canadian work experience that meets neo-labor market demands. The study also examines how neoliberals’ interventions in market place, elimination of social services, and employment support programs have deterred labor force integration of the racialized migrants’ job seekers. In this Grounded Theory study (GT), participants have shared their experiences and challenges they have encountered form own perspectives. They shared stories about difficulties of finding suitable training and employment support programs within the current neo-liberalized labor market in Canada. The outcomes suggested that the rise of neoliberalism as noted in policies of social and employment services cuts, coupled with employment standard Acts reforms (ESA), have given employers more powers over hiring process which in many cases has nothing to do with candidate’s skills or qualifications. In this neo-political paradigm, the racialized migrants felt they have wasted most of their productive years searching for (1) training, mentorship or employment support programs that can facilitate effective transition to the labor force, and (2) dealing with challenges of improving unrecognized skills and qualification attained from countries of origin.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.033
GPT teacher head0.398
Teacher spread0.365 · 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 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

Citations3
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueInternational and Multidisciplinary Journal of Social SciencesSame topicEmployment and Welfare StudiesFrench-language works237,207