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Record W6999415283

Comparing Perceptions of Nature in Land-Use and Conservation Plans at Three Sites of Violence Against the Double-Crested Cormorant

2023· other· en· W6999415283 on OpenAlexaff

Bibliographic record

VenueYork University Digital Library (York University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsYork University
Fundersnot available
KeywordsConceptualizationPerspective (graphical)Plan (archaeology)PerceptionRepresentation (politics)Conservation psychology
DOInot available

Abstract

fetched live from OpenAlex

The central goal of this research is to clarify the roles of land-use planning and conservation planning in the human-nature relationship. To do this, I analyze the language used to describe nature in land-use plans and conservation plans at three sites in the Great Lakes of an age-old conflict between humans and one particular form of nature, the double-crested cormorant. \nSome human-wildlife conflicts are so persistent that they require renewed investigation across many human generations to move closer to reconciliation and human-cormorant conflict is one such as this. Land-use plans provide a novel perspective on this conflict, a conflict which is currently only addressed in conservation plans. I found that nature is not thoroughly addressed in in the land-use plans in this study. Yet, land-use planning is a major force that influences human-nature relations. Through its maps, goals, and recommendations planning prescribes the way people interact with, and think about, nature. However inadequate nature’s representation in land-use plans may be, they are nonetheless an interesting place to look for insight into human-nature relations. \nLand-use plans do not usually deal with specific human-wildlife interactions, and I knew this going into the research. The investigation therefore needed a counterpoint, so I included conservation plans, which deal directly with human-wildlife interactions. Together, these two types of plans manage the human-nature relationship. I found that where land-use plans treat nature in broad, general terms, conservation plans treat nature in specific, detailed terms. The conceptualization of nature in each type of plan is very different. In the paper I ask how language might affect the human-nature relationship. In particular, I look at the way humans describe their relationship with species that cross a plan’s boundaries, such as double-crested cormorants. \nThis research aims to help land-use and conservation planners imagine, and write, the human-nature relationship otherwise. This relationship is currently structured by an anthropocentric hierarchy, but that must change if we hope to resolve conflicts like the one between people and cormorants, or reach larger environmental sustainability goals. When humans and nature have a relationship structured by equality and reciprocity, cormorants may no longer be culled. Of course, this change must occur in culture as much as in plans, if not more. But plans have creative power as world-building endeavours. A plan casts an image of the future into the present. It is a form of collective imagining. This research, an investigation of the power of language, can encourage planners and policy writers to consider the words they use as a source of creative power that influences society’s relationship with nature.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.185
Teacher spread0.161 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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