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Record W7098687271

Copyright – Fair Dealing Policy 321

2016· article· en· W7098687271 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Order (exchange)Fair dealingModernization theoryStatement (logic)Administration (probate law)
DOInot available

Abstract

fetched live from OpenAlex

1. Policy Statement It is the policy of the Upper Grand District School Board to comply with the Fair Dealing Guidelines as developed by the Council of Ministers of Education Canada (CMEC) Copyright Consortium. The Board will communicate the Fair Dealing Guidelines to all school locations annually in order to ensure that all staff understand the obligations of the school Board in accordance with the Copyright Modernization Act. 2. Details 2.1 It is the responsibility of the appropriate Senior Administration to administer this policy. 2.2 It is the responsibility of school administrators to implement this policy and to communicate it and the Fair Dealing Guidelines to all school staff on an annual basis. 2.3 It is the responsibility of all teachers and support staff that copy or communicate short excerpts from copyright-protected work (either in

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)0.028
metaresearch head score (Gemma)0.123
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.363
Threshold uncertainty score0.909

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.123
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.007
Science and technology studies0.0070.006
Scholarly communication0.0230.013
Open science0.0040.004
Research integrity0.0220.013
Insufficient payload (model declined to judge)0.3630.400

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 head0.030
GPT teacher head0.232
Teacher spread0.202 · 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.

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

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