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Record W7056482455

Feature Story: Indigenous students from the U.S. will now find studying at the U of R more affordable

2022· other· en· W7056482455 on OpenAlexaboutno aff

Bibliographic record

VenueoURspace (University of Regina) · 2022
Typeother
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousTreatyCommissionAction (physics)Feature (linguistics)Action planPlan (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Thanks to the Jay Treaty Tuition Agreement, Indigenous students from the U.S. studying at the University of Regina will pay the same tuition and fee rates as Canadian students. "The University, in its 2020-2025 strategic plan All Our Relations: kahkiyaw kiwâhkômâkaninawak, has committed to taking significant action on the Truth and Reconciliation Commission of Canada: Calls to Action that are applicable to post-secondary education, including improving supports for Indigenous students, faculty, and staff,"said Lori Campbell, Associate Vice-President (Indigenous Engagement). "Honouring the principles of the Jay Treaty of 1794 is a step toward meeting this commitment and I am pleased to announce this tuition agreement as we approach National Indigenous Peoples Day on June 21."

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)0.002
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: none
Teacher disagreement score0.223
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0150.002
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0680.015

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 head0.008
GPT teacher head0.194
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
Published2022
Admission routes1
Has abstractyes

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