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Record W3176555704 · doi:10.18733/cpi29599

Engagement Strategy for a Racism-Free Workplace

2021· article· en· W3176555704 on OpenAlexvenueaboutno aff
John Samuel, Nand Tandon

Bibliographic record

VenueCultural and Pedagogical Inquiry · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsRacismGovernment (linguistics)Inclusion (mineral)Ethnic groupPolitical scienceRace (biology)Public relationsPublic administrationGender studiesSociologyLaw

Abstract

fetched live from OpenAlex

Executive summary of a Canadian qualitative study conducted by John Samuel and Nand Tandon, John Samuel and Associates, Ottawa (2015). Despite being conducted several years ago, the study has remained unpublished until its inclusion in this CPI issue. The research examines systemic issues and barriers encountered by members of the First Nations and visible minorities in the high education segment of the Canadian workplace, barriers that remain in Canada today. The Engagement Plan for a Racism-Free Workplace forms part of the Labour Program of [the federal government’s] HRSDC’s drive to end race-based discrimination in the workplace faced by Aboriginal peoples and members of visible minority groups. As well, the federal government has made a commitment to removing race-related barriers in the workplace and to consulting racial and ethnic groups in developing public policy to achieve this objective.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.890
GPT teacher head0.645
Teacher spread0.245 · 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 designNot applicable
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

Citations1
Published2021
Admission routes2
Has abstractyes

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