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Record W7009825044

Feature Story: Northern community sees first group of students graduate with new Liberal Arts Certificate

2019· other· en· W7009825044 on OpenAlexaboutno aff

Bibliographic record

VenueoURspace (University of Regina) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipGraduation (instrument)IndigenousLiberal arts educationCeremonyCertificateFeature (linguistics)The arts
DOInot available

Abstract

fetched live from OpenAlex

On December 17, 2019 at a graduation ceremony in the northern village of Pinehouse, SK, the first cohort of 19 Indigenous students celebrated the successful completion of the Liberal Arts Certificate program. The program is delivered by Gabriel Dumont Institute (GDI) in partnership with the University of Regina. The partnership between GDI and the U of R was first established 40 years ago. The partnership recognizes the sovereignty of Indigenous peoples and enables GDI to deliver University of Regina programs to Métis students. First Nations and Inuit students also attend GDI. With a main goal of providing Métis people with access to post-secondary education, GDI is owned by the Métis people of Saskatchewan and one of its key goals is to help expand educational opportunities for the Métis.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.110
Threshold uncertainty score0.368

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0150.002
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.1100.022

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.

Opus teacher head0.047
GPT teacher head0.233
Teacher spread0.186 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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