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Record W7153674710

Recent Literature

2024· article· W7153674710 on OpenAlexaboutno aff
The Auk

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2024
Typearticle
Language
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifeWildernessListing (finance)JungleState (computer science)CommissionVegetation (pathology)Natural (archaeology)Climax
DOInot available

Abstract

fetched live from OpenAlex

Nature Sanctuaries in the United States and Canada, a Preliminary Inventory.S. Charles Kendeigh et al.Living Wilderness, 15 (35): 1-45.Winter, 1950-51.$0.50.--An entire issue of the quarterly magazine published by the Wilderness Society (1840 Mintwood Place, Washington 9, D.C.) is devoted to this list of 691 nature sanctuaries in the United States, Canada, and Alaska.It is the fruit of long labor, spanning 12 years, by the Committee on the Study of Plant and Animal Communities and principally by its chairman, Dr. S. Charles Kendeigh of the University of Illinois.The objective was to compile a working list of sanctuaries, describe them briefly, and evaluate their suitability for scientific study, the measuring stick being one of degrees of disturbance and the principle being that the less disturbed an area is, the better it is for research (at least in the particular line of community research emphasized by the committee).Numerous persons have cooperated in the compiling job, including over 200 contributors beside the committee of 16 ecologists representing the Ecological Society of America and later the Ecologists' Union (now called the Nature Conservancy).•I'his is actually a second listing, the first having appeared in 1926 in the 'Naturalists' Guide to the Americas,' edited by V. E. Shelforal.Included in the listing are national parks, national monuments, many state parks, some county, city, and private parks, and some university-owned study areas.Areas not listed, with some exceptions in each group, are national and state forests, federal wildlife refuges, and protected watersheds.The list is subdivided according to the major biotic regions or biomes, and the sanctuaries are classified according to the type of terrain and climax vegetation which prevail in them.The classification of natural regions used is that in the text 'Plant Ecology' by Weaver and Clements, modified to harmonize with the views of community ecologists at the University of Illinois.Under each biome heading, subordinate headings of associations are used wherever possible, and then sanctuaries are listed by states, subdivided into those protected and those only partially protected.This system has the obvious advantage of listing sanctuaries with more or less common ecological characteristics under one heading, thus serving as something of an index to conservationists' accomplishments in setting aside samples of each regional community type.One disadvantage is that, at some points, the rigidity and incompleteness of the Clementsian community classification results in some obscuring, if not misleading, features in the placement of sanctuaries.For example, Clements never saw fit to recognize, on the Pacific coast, broad-sclerophyll forest or redwood border associations, and one cannot tell from this listing what sanctuaries contain stands of these communities except if certain species of trees such as madrone or coast live oak are mentioned.Another disadvantage is that the complex distribution of communities in the West leads to such odd tricks of expediency as placing the chaparral region of California under the coniferous forest biome.Thirteen maps, biome by biome, show the location of sanctuaries, with symbols to distinguish those protected from those only partially protected.These maps are an excellent feature of the listing.Although the entry of the locations could only be approximate on such small maps, the eye catches spots that are placed a little too approximately, as that for the University of California which is shown (page 32) where Stanford University exists!The brief introduction brings out many interesting points."The tundra and the communities of the higher Rockies, Cascades, and Sierra Nevada are relatively better 324

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)0.015
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: Review · Consensus signal: none
Teacher disagreement score0.408
Threshold uncertainty score0.844

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.012
Science and technology studies0.0020.001
Scholarly communication0.0080.006
Open science0.0030.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4080.218

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 head0.028
GPT teacher head0.174
Teacher spread0.146 · 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
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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