MétaCan
Menu
Back to cohort
Record W7099967258

PUB TYPE Information Analyses (070) Viewpoints (Opinion/Position Papers, Essays, etc.) (120) Reports Evaluative/Feasibility (142)

2016· article· en· W7099967258 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Taxonomy and Phylogenetics
Canadian institutionsnot available
Fundersnot available
KeywordsViewpointsInformation technologyFunction (biology)CurriculumPosition (finance)Information Processes and TechnologyInformation system
DOInot available

Abstract

fetched live from OpenAlex

Information technology is having a profound effect on higher education in North America, and Brandon University in Manitoba (Canada) is in a position to join this movement in its early stages. The case for integrating information technology into the curriculum is argued, and the potential role of the new library complex in the teaching function is outlined. The recent expansion of the campus information network, MONET, has enhanced opportunities for faculty members, but this technology has yet to be extended to students. The new library is planned to allow the incorporation of information technology into the curriculum, should the university and the community elect to move students into the information technology age. Practical suggestions are offered to accomplish this. A first step is to begin developing courses that apply information technology to the specific research assignments required of students. A second,

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)0.006
metaresearch head score (Gemma)0.036
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 score0.200
Threshold uncertainty score0.285

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0160.015
Science and technology studies0.0030.000
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.8000.556

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 head0.091
GPT teacher head0.308
Teacher spread0.217 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicPlant Taxonomy and PhylogeneticsFrench-language works237,207