MétaCan
Menu
Back to cohort
Record W2072678439 · doi:10.1898/1051-1733-95.3.173

Preface to a Special Issue: Recent Advances in Bat Research in Northwestern Canada and Alaska

2014· article· en· W2072678439 on OpenAlexaffabout
Link E. Olson, Thomas S. Jung

Bibliographic record

VenueNorthwestern Naturalist · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBat Biology and Ecology Studies
Canadian institutionsYukon Department of Environment
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Until recently, bats were among the least studied terrestrial vertebrates in northwestern Canada and Alaska (Parker and others 1997; Jung and others 2006). Concern over the anticipated westward spread of white-nose syndrome (WNS), as well as other drivers (for example, landscape change, climate change), has resulted in a growing scientific and management interest in bats in this vast region (Blejwas and others 2014; Olson and others 2014; Wilson and others 2014), with recent studies producing interesting new findings (for example, Slough and Jung 2008; Boland and others 2009; Randall and others 2011). In particular, our knowledge of the diversity and distribution of species in northwestern Canada and Alaska has advanced significantly in recent years (see papers in this issue), and these data represent the necessary first step in baseline and environmental impact studies as well as conservation planning. Bats living at high latitudes face unique environmental conditions (such as short, bright summers), and several studies have begun to illuminate how the life history and ecology of bats in the far north are unique and where they may (or may not) differ with conspecifics at more southerly latitudes (for example, Talerico 2008; Reimer and others 2014). Unfortunately, much of the recent work has remained unpublished and unavailable to others with an interest in bats in the region. As such, our primary goal with this special issue is to bring to light recent advances in bat research in northwestern Canada and Alaska. The impetus for this special issue arose from a symposium and workshop on ‘‘Bat Ecology in Alaska: Assessing the Risk of WNS’’, organized by Karen Blejwas (Alaska Department of Fish and Game) and Link Olson (University of Alaska Museum), and held in conjunction with the Alaska Chapter of The Wildlife Society’s 2012 annual conference in Anchorage, Alaska. The symposium marked the first gathering of bat researchers from Alaska and northwestern Canada (Fig. 1) and spawned the Northern Bat Working Group (NBWG), a network of likeminded scientists and enthusiasts recognizing, and striving to address, the need for better communication and coordination among bat researchers and managers. Karen Blejwas and Miranda Terwilliger (US National Park Service) were elected the group’s first Co-Chairs. Another outcome was the notion of a special journal issue to capture some of the recent advances in our knowledge of bats in the region. The 13 papers that comprise this special issue are a combination of select presentations delivered at the 2012 symposium and others solicited from researchers we knew were producing interesting findings on bats in the region. (Our apologies to those we may have missed.) For the purpose of this special issue, our region of interest included Alaska, Yukon, Northwest Territories, and the northern portions ($546N latitude) of Alberta and British Columbia. This area spans several ecoregions, including the northern Pacific Coast and the expansive boreal forest of the interior. Much of the work presented in this issue advances our knowledge of the diversity and distribution of bats in the region. This is indicative of the expansiveness and remoteness of the region and the concomitant logistical challenges faced by bat biologists. Other works included in this special issue provide an NORTHWESTERN NATURALIST 95:173–175 WINTER 2014

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.673

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.276
Teacher spread0.252 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueNorthwestern NaturalistSame topicBat Biology and Ecology StudiesFrench-language works237,207