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Record W1979967396 · doi:10.1177/0734371x14544546

Toward Representative Bureaucracy

2014· article· en· W1979967396 on OpenAlex
Eddy S. Ng, Greg J. Sears

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReview of Public Personnel Administration · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsCarleton UniversityDalhousie University
FundersDalhousie University
KeywordsAttractionWorkforceEquity (law)Job securityPublic service motivationBureaucracyPublic serviceDiversity (politics)Demographic economicsGovernment (linguistics)Work (physics)Political scienceBusinessPublic sectorPublic relationsEconomicsEconomic growthPolitics

Abstract

fetched live from OpenAlex

To deliver truly representative and effective democratic governance, a public service (PS) should employ individuals from diverse backgrounds throughout its workforce. In the Canadian government, patterns of underrepresentation persist for each of the four employment equity (EE) groups. This study explores three questions: First, are there differences between the four EE groups in terms of their attraction to jobs in the public sector? Second, what are key work values that predict PS attraction? Third, do EE groups differ in terms of these key work values? Based on a large-scale survey of more than 12,000 final-year Canadian postsecondary students, results indicate that women, Aboriginals, and persons with disabilities report higher levels of PS attraction than visible minorities. Work values such as job security, commitment to social responsibility, benefits, and commitment to diversity were strongly associated with PS attraction, and EE groups differed in their evaluations of the relative importance of these work values.

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.

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)0.005
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.148
GPT teacher head0.444
Teacher spread0.296 · 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