MétaCan
Menu
Back to cohort
Record W7097702359

Director, Student Life

2010· article· en· W7097702359 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)Experiential learningHigher educationStudent lifeStatement (logic)Service (business)Student engagementService-learning
DOInot available

Abstract

fetched live from OpenAlex

Reason for Policy 1.1 The University of Manitoba values the contributions of its students, staff and faculty in the community. The University of Manitoba is committed to delivering an exceptional student experience and ensuring our students have a variety of experiential education opportunities including, but not limited to, undergraduate research, community service learning, and international exchanges. 1.2 The reason for this policy is to provide formal recognition of student’s co-curricular activities through a Co-Curricular Record (CCR). The CCR is a formalized university-certified record of University-approved and facilitated activities that support student development in venues that are not for academic credit. The CCR will be available to students in addition to the academic transcript, as a clear statement of involvement in activities that support holistic student development. Part II Policy Content 2.1 Apart from a student’s academic learning, experiences in campus programs that are of a

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)0.009
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.660
Threshold uncertainty score0.941

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0120.005
Open science0.0030.006
Research integrity0.0180.014
Insufficient payload (model declined to judge)0.3400.250

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 head0.049
GPT teacher head0.416
Teacher spread0.367 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicHigher Education Practises and EngagementFrench-language works237,207