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Record W2788288694 · doi:10.11575/prism/10229

Canadian Parks for Tomorrow: 40th Anniversary Conference: Introductory material

2008· article· en· W2788288694 on OpenAlexaboutno aff
Dianne Draper, R.C. Scace

Bibliographic record

VenueOpen MIND · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceComputer science

Abstract

fetched live from OpenAlex

Dear DelegateWe take great pleasure in welcoming you to the 40 th Anniversary conference.The conference celebrates the inaugural The Canadian Parks: Today and Tomorrow conference of 1968 and provides a forum to consider and address parks and protected areas of the future.We are pleased to welcome delegates from all parts of Canada and extend a special welcome to those who have joined us from abroad.We trust you will all find the conference to be thought provoking, stimulating and productive.The conference includes approximately 130 presentations, as well as panels and discussion sessions.The range of subject matter reflects the complexities inherent in identifying, planning for, managing and using parks and protected areas across a spectrum of public, private and traditional lands.Chronic issues, emerging challenges and at the same time heartening accounts of research findings, innovative approaches and cooperative arrangements weave their way through the presentations.We owe a debt of gratitude to the people and organizations that have supported the conference in many ways, including those on organizing committees, those who have supported the conference in material ways and of course, those who have contributed their research and insight through papers and presentations is valued.We recognize these valued contributions elsewhere in the conference program.We live in a world of change and uncertainty.What is certain is the importance of parks and protected areas to environmental and human health alike.We trust this conference will provide a clear foundation for future research, planning and decision making in Canada and abroad and sustain our collective commitment to protection of the heritage others have passed down to us.

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)0.002
metaresearch head score (Gemma)0.003
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: Editorial · Consensus signal: none
Teacher disagreement score0.491
Threshold uncertainty score0.988

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0090.001
Scholarly communication0.0090.003
Open science0.0030.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.3560.130

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 head0.021
GPT teacher head0.221
Teacher spread0.200 · 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
GenreEditorial

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
Published2008
Admission routes1
Has abstractyes

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