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Record W2919734443

[no title]

2018· preprint· en· W2919734443 on OpenAlexaff
Emma Archer, Luthando Dziba, K. Mulongoy, Malebajoa Anicia Maoela, Michéle Walters, Reinette Biggs, Marie-Christine Cormier-Salem, F. DeClerck, Mariteuw Chimère Diaw, Amy E. Dunham, Pierre Failler, Christopher Gordon, Khaled Harhash, Robert Kasisi, Fred Kizito, Wanja Dorothy Nyingi, Nicholas Oguge, Balgis Osman-Elasha, Lindsay C. Stringer, Luis Tito de Morais, A.E. Assogbadjo, Benis N. Egoh, Marwa Waseem A. Halmy, Katja Heubach, Adelina Mensah, Laura Pereira, Nadia Sitas

Bibliographic record

VenueCity Research Online (City University London) · 2018
Typepreprint
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBiodiversityEcosystem servicesEnvironmental resource managementGeographyEnvironmental planningEcosystemBusinessEnvironmental scienceEcologyBiology
DOInot available

Abstract

fetched live from OpenAlex

International audience

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)0.007
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 score0.210
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0100.006
Open science0.0010.004
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.7900.693

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 head0.108
GPT teacher head0.315
Teacher spread0.207 · 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

Citations12
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueCity Research Online (City University London)Same topicConservation, Biodiversity, and Resource ManagementFrench-language works237,207