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Record W4232774444 · doi:10.32920/ryerson.14646735

Punjabi Immigrant Women In The GTA Truck Industry: A Case Study

2021· preprint· en· W4232774444 on OpenAlexaff
Bashinder Gill

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsImmigrationInterviewTruckGovernment (linguistics)Qualitative researchBusinessSocial capitalCapital (architecture)Ethnic groupDemographic economicsEconomic growthPolitical scienceGeographySociologyEngineeringEconomics

Abstract

fetched live from OpenAlex

The main purpose of this qualitative case study was to explore the growing phenomenon of Punjabi immigrant women from the GTA entering the male dominated trucking industry. In particular, this study aimed to explore the factors that enabled immigrant women to enter a nontraditional occupation and to examine the role of social capital in impacting their labour market outcomes. By interviewing 8 Punjabi immigrant women who have experienced driving a truck, the results of the study showed that living in an extended family household and the support of spouses played a major role in facilitating entry into the truck industry. Furthermore, the accumulation of social capital within Punjabi ethnic enclave communities also enabled women to enter trucking. Drawing on existing literature and government publications concerning the trucking industry, this study also helps to illustrate how immigrant populations become significant actors within particular industries, in this case, the GTA’s trucking industry.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.981
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.004
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.046
GPT teacher head0.240
Teacher spread0.194 · 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 routes1
Has abstractyes

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Same topicIndian Economic and Social DevelopmentFrench-language works237,207