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Record W4380229790 · doi:10.1515/9780773576582-002

Preface

2009· book-chapter· en· W4380229790 on OpenAlexaboutno aff
Kenichi Matsui

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2009
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Years ago, I visited my friend's house near Silver Star Mountain Provincial Park in the southern interior of British Columbia.My friend was a nature interpreter.She showed me her compost project and the organic vegetables in her large backyard surrounded by coniferous trees.While we chatted in the backyard, she suddenly spotted fir or hemlock seedlings coming out of the lawn.She stooped over and started picking them, complaining "the forest is reclaiming my land."My instant and politically incorrect reply to her was "Good!" "No, it's not," she murmured and uprooted those sprouting trees.Perhaps it was not good for her, but I meant to say that it was good for the forest.I still vividly remember this short conversation because it struck me to see that, even today in this seemingly humandominated world, nature maintains its resilience by reclaiming "civilization."It also struck me to know that consciously or unconsciously even nature-loving people fight against nature in their backyards to secure the boundaries of their own civilized properties.In this property-driven world, nature is "them" rather than "us."In the early 1990s, while pursuing my graduate studies in the United States and Canada, I met a fairly good number of the indigenous peoples from Australia, Canada, Japan, and the United States.Those indigenous peoples, especially in British Columbia, taught me how to keenly observe the resilience demonstrated by sprouting grassroots indigenous movements in reclaiming this property-driven world.Despite the mounting problems and difficulties they have faced, many Native youths, leaders, and elders have maintained their positive attitude toward their future by reclaiming indigenous rights and pride.By allowing me to participate in some religious practices,

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.018
GPT teacher head0.195
Teacher spread0.177 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2009
Admission routes1
Has abstractyes

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