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Ecosystems, Stable and Sustainable

2012· book-chapter· en· W4245739537 on OpenAlexaff
Lara LaCaille, Anna Maria Patiño‐Fernández, Jane Monaco, Ding Ding, C. Renn Upchurch Sweeney, Colin D. Butler, Colin L. Soskolne, Yori Gidron, J. Rick Turner, Jorie Butler, Michelle Nicole Burns, David C. Mohr, Ivan Molton, Douglas Carroll, Hugo Critchley, Yoko Nagai, Linda C. Baumann, Alyssa Karel, Michelle Skinner, Pamela S. King, Siqin Ye, Karen Jacobs, Miranda Hellman, Jacqueline Markowitz, Ellen Wuest, Mann Hyung Hur, Janine Sanchez, Andrea Croom, James A. McCubbin, Beate Ditzen, Friedrich Wieser, Robert N. Taylor, Jet Veldhuijzen Zanten, Quinn D. Kellerman, Jennifer Heaney, Marc D. Gellman, G. David Batty, Alicia K. Smith, James W. Schroeder, George J. Trachte, Deidre Pereira, Seema M. Patidar, Catherine Benedict, Urs M. Nater, Sheah Rarback, Maurizio Cutolo, Yoshiyuki Takimoto, Jane Upton, Kristine M. Molina, Orit Birnbaum‐Weitzman, Michael Witthöft, Kristin Kilbourn, Shannon Madore, Bonnie Spring, Molly Ferguson, Stephanie Russell, Alyson Sularz, Megan Roehrig, Peter A. Hall, Jordan Carlson, Alexandre Morizio, Simon Bacon, Stephen J. Lepore, Wendy Kliewer, Marcia D. McNutt, Monica Webb Hooper, Gary Davis, Kevin S. Masters, Naum Purits, Ingrid Söderback

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicEarth Systems and Cosmic Evolution
Canadian institutionsUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsEcosystemEnvironmental scienceEnvironmental resource managementBusinessEcologyBiology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.006

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 head0.013
GPT teacher head0.176
Teacher spread0.164 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations2
Published2012
Admission routes1
Has abstractno

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