Article 2 from Series of 5: Empowering African-Canadian Career Excellence
Bibliographic record
Abstract
NOTE: THIS ARTICLE WAS PUBLISHED WITH THE INFORMING SCIENCE INSTITUTE. Aim/Purpose...................................................................................................................................................................................................... The African-Canadian Career Excellence (ACCE) initiative was developed to address the loss of highly-educated, English-speaking Black youth from the Greater Montreal Area (Quebec, Canada) facing issues of unemployment and underemployment. Background........................................................................................................................................................................................................ The ACCE initiative partners – African and Caribbean Synergic inter-organizational Network of Canada (ACSioN Network), Black Community Resource Center (BCRC) and Community Economic Development and Employability Corporation (CEDEC) – worked to mitigate the exodus of educated Black youth through building their professional capacities to attain meaningful, sustainable local employment; encouraging their contribution to Quebec’s vitality, and assisting employers to diversify their workforce. Methodology....................................................................................................................................................................................................... The Black undergraduate students of African descent who were surveyed were English-speaking youth from the Greater Montreal Area; these included Canadian citizens, landed immigrants and temporary and permanent residents. Survey respondents will be referred to as Black African undergraduate students for the remainder of this article. In the 2011-2012 academic year, Black African undergraduate students from five Montreal post-secondary institutions were surveyed. On-campus promotion and in-person solicitation resulted in a non-random convenience sample of 92 individuals. Data from the 34 categorical and open-ended questions in an English-language online survey were analysed using SurveyMonkey, Microsoft Excel and SPSS. Contribution........................................................................................................................................................................................................ Montreal's English-speaking Black African undergraduate students represent an under-documented demographic in migration studies, specifically in terms of career plans, workplace skills, career path, employment resource awareness and discrimination. This portrait highlights the experience and career expectations of Montreal Black African undergraduate youth and is relevant within the contexts of Black history, community development, skills and career development, education and employment. Findings.............................................................................................................................................................................................................. These results suggest that English-speaking Black African undergraduates expected to follow an appropriate career path in their desired field by attaining meaningful and sustainable local employment commensurate with their skills. Many of these youth were not able to access the same career opportunities as their peers, and therefore left before fully participating in Quebec’s economy. Recommendation for Practitioner................................................................................................................................................................... This article suggests that businesses seeking to diversify their workforce can collaborate with public institutions and civil society organizations to better prepare and integrate Montreal’s skilled Black African youth. It is suggested that career-advancement training focus on addressing job security and skills gap concerns, in addition to awareness of discrimination in the workplace and strategies for identifying and redressing the situation. Recommendation for Researcher.................................................................................................................................................................... Future research could be conducted within the same Montreal population to compare the findings a decade later. Subsequent outreach to targeted employers might reveal progress and additional recommendations in diversifying their workplace. Impact on Society.............................................................................................................................................................................................. Collaboration among public institutions, private businesses and civil society organizations can lead to increased integration of Black African youth into the labor market.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.137 | 0.022 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".