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Record W2673548972 · doi:10.1093/biosci/bix067

Scientific Evidence for Fifty Percent?

2017· article· en· W2673548972 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBioScience · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsNatural Sciences and Engineering Research Council of Canada
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

A recent article by Dinerstein and colleagues (2017) presents an impressive and highly useful inventory of the global extent of protected area by ecozone. It also provides an assessment of the extent to which the planet has achieved a target of 50-percent protection, which the authors imply is an appropriate, science-based target for protected area coverage. We do not disagree with the value of protected areas as an important conservation strategy. However, we are concerned with the assumption implicit in the paper by Dinerstein and colleagues (2017) that the 50-percent target is scientifically derived and appropriate. Conservation biologists have long debated the question “how much protection is enough?” for conservation purposes. There is general agreement that the current Aichi target of 17 percent and the previous Brundtland Commission target of 12 percent are politically motivated targets and would not necessarily lead to a sufficient amount of land set aside from a scientific ecological perspective (Svancara et al. 2005).

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.431
GPT teacher head0.482
Teacher spread0.050 · 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