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Record W7067047856

Maineâs Beginning with Habitat program and transportation partnership

2005· article· en· W7067047856 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife-Road Interactions and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatWildlifeWildlife corridorGeneral partnershipIncentiveWildlife conservation
DOInot available

Abstract

fetched live from OpenAlex

Transportation facilities and adjacent development are the greatest contributors to habitat loss and fragmentation in Maine. Transportation facilities present a linear structure that is either a physical barrier or zone of adverse habitat that has separated former habitat or, in the case of new facilities, a dividing or fragmenting influence on existing habitat. Maine’s Beginning with Habitat (BWH) program and the Maine Department of Transportation have partnered to begin addressing transportation issues related to habitat and wildlife. Beginning with Habitat is a collaborative, public-private partnership whose mission is to compile, integrate, interpret, and deliver the best available information, tools, and incentives to facilitate effective land-use planning and naturalhabitat conservation at local, regional, and state-wide scales. In 2004, BWH won an Environmental Merit Award from EPA and the program is now serving as a model for other states that wish to integrate habitat protection with land-use planning. As Maine’s landscape changes over time, the goal of the program is to sustain habitat that supports healthy populations of Maine’s wildlife and native plants for current and future generations. BWH was developed by a group of stakeholders concerned about the future of Maine’s habitat and wildlife in the face of the increased rate of sprawling development. BWH provides all Maine towns with a collection of GIS maps and accompanying information depicting and describing various habitats of statewide and national significance found in the town. These maps provide communities with information that can help guide conservation of valuable habitats. During the last few years, BWH has met with over 140 towns and land trusts to give individualized presentations on the locations and conservation of high-value plant and animal habitat in their communities. Current areas of synergy include: • Developing Northeast regional relations with New England, the Canadian Maritimes, and Québec • Creating a Maine Habitat and Transportation Working Group that has developed a six-point plan to integrate and act on habitat and transportation goals for the mutual benefit of Maine’s transportatio networks and habitat • Using BWH data for transportation scoping early in projects • Using BWH Focus Areas of statewide ecological significance for transportation-project compensatory-mitigation planning • Linking transportation and open space components of municipal land-use plans In addition, an effort is underway to secure funding to develop a habitat-connectivity analysis for enhancement of BWH data and transportation planning. This analysis will use BWH data as well as other data to identify habitat connectivity areas in order to direct strategies to maintain and restore connections. The partners of this cooperative program include: • Maine Audubon • Maine Coast Heritage Trust • Maine Cooperative Fish and Wildlife Research Unit • Maine Department Environmental Protection • Maine Department of Inland Fisheries and Wildlife • Maine Department of Transportation • Maine Forest Service • Maine Natural Areas Program • Maine State Planning Office • Maine’s 13 regional planning commissions • Nature Conservancy • U.S. Fish and Wildlife Service

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.147
Threshold uncertainty score0.492

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1470.024

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 head0.010
GPT teacher head0.212
Teacher spread0.202 · 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 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

Citations0
Published2005
Admission routes1
Has abstractyes

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