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Record W6991148680

Feature Story: National Chief Perry Bellegarde to speak on campus

2015· other· en· W6991148680 on OpenAlexaboutno aff

Bibliographic record

VenueoURspace (University of Regina) · 2015
Typeother
Languageen
FieldEngineering
TopicStructural Response to Dynamic Loads
Canadian institutionsnot available
Fundersnot available
KeywordsThrivingClosing (real estate)Feature (linguistics)Quality (philosophy)First World
DOInot available

Abstract

fetched live from OpenAlex

The Assembly of First Nations National Chief Perry Bellegarde is coming to campus to talk about “Building a stronger Canada for all of us: closing the gap in the quality of life for First Nations people.” “The gap is the vast difference in the quality of life experienced by First Nations people and non-Indigenous Canadians. The gap is well documented and is holding all of us back from building healthy and thriving First Nations and a stronger Canada,” says Chief Bellegarde. Chief Bellegarde will discuss why First Nations’ priorities are Canada’s priorities and describe efforts the Assembly of First Nations is making to ensure these issues are addressed during the remainder of the federal election campaign.

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)0.003
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: Commentary · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.657

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.1970.054

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 head0.007
GPT teacher head0.194
Teacher spread0.188 · 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
GenreCommentary

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
Published2015
Admission routes1
Has abstractyes

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