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Record W4392815963 · doi:10.29173/jaed346

An Analysis of Aboriginal Employment: 2009–2013

2014· article· en· W4392815963 on OpenAlex
Robert Oppenheimer

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Aboriginal Economic Development · 2014
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsConcordia University
Fundersnot available
KeywordsUnemploymentUnemployment rateGeographyDemographic economicsDemographyEconomicsSociologyEconomic growth

Abstract

fetched live from OpenAlex

The employment, unemployment and participation rates are examined for Aboriginals living off-reserve in Canada from 2009 to 2013 as well as for non-Aboriginals. Employment is analyzed by educational level, gender and age, province and territory and by industry and sector. The rates of employment and unemployment for Aboriginals have continued to improve, lessening the differences with non-Aboriginals. Those in the 15 to 24 age group and women had the largest improvements in their employment and unemployment rates in 2013. The level of education obtained is directly related to the rate of employment for Aboriginals and non-Aboriginals and explains most of the difference in their rate of employment, but does not explain the differences in unemployment rates. The highest rate of employment for Aboriginals and non-Aboriginals is in Alberta. The areas in which the highest percent of those employed are in health care and social assistance followed by retail trade.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.882
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.005
GPT teacher head0.237
Teacher spread0.232 · 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