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Record W7151490435 · doi:10.5282/ef-journal/1162

Earth First! 26, no. 6

2023· article· en· W7151490435 on OpenAlexaboutno aff
erin, Josh, Oskar, Sophie

Bibliographic record

VenueUniversitätsbibliothek der LMU · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Analytical Chemistry Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessState (computer science)Civil disobedienceForgeEarth (classical element)Natural (archaeology)Power (physics)Action (physics)

Abstract

fetched live from OpenAlex

erin (Hufflepuff), Josh (Ravenclaw), Oskar (Gryffindor), and Sophie (Ravenclaw), eds., Earth First! 26, no. 6 (1 September 2006). Republished by the Environment & Society Portal, Multimedia Library. http://www.environmentandsociety.org/node/7218. FEATURES • ELF STILL ON FIRE • ACCESS DENIED ANATOMY OF A POWER PLANT BLOCKADE • WILD ANCIENT FORESTS AND PRISTINE RIVERS PROTECTING THE WILD VALLEY • G8 PROTEST ROUNDUP “ENERGY SECURTIY” MET WITH PROTESTS WORLDWIDE • OIL SANDS MINING THE DEATH OF THE CANADIAN WILDERNESS • AGAINST THE CURRENT THE PLASTIC SEA • ACTION FOR THE SISKIYOU NATIONAL FOREST • SUPPORT THE SOUTH CENTRAL 10 • WHAT IS ROOT FORCE? DEMOLISHING COLONIALISM AT ITS FOUNDATIONS • WHAT IS GLOBALIZED INFRASTRUCTURE? • INFRASTRUCTURE EXPANSION • SOME ARCHITECTS • LA PAROTA DAM • ANILLO PERIFÉRICO • GET INVOLVED WITH ROOT FORCE • PASCUA LAMA MOVING GLACIERS AND MINING GOLD • HOW EARTH FIRST! GOT ITS GROOVE BACK REPORT FROM THE 2006 ROUNDUP RIVER RENDEZVOUS • STATE OF THE JOURNAL A MESSAGE FROM THE EF! EDITORIAL COLLECTIVE • EVOLVING EARTH FIRST! SUGGESTIONS FOR THE FUTURE OF THE MOVEMENT • THE CASE AGAINST IL SILVESTRE • THE GREEN SCARE CONTINUES SIX PLEAD GUILTY TO ARSONS AND CONSPIRACY • REMEMBERING MURRAY BOOKCHIN PIONEERING SOCIAL ECOLOGIST DIES AT 85 We’ve all seen it, wherever we live: urban sprawl. It overtakes wetlands, forests, fields and any other remaining natural places outside cities, and it turns them into paved Wal-Mart parking lots or chartreuse suburban lawns. The citizens try lobbying, but it seems that there’s no one who can stand in the way of the bulldozer. Or is there? — Sopaipilla The Rachel Carson Center’s Environment & Society Portal makes archival materials openly accessible for purposes of research and education. Views expressed in these materials do not necessarily reflect the views or positions of the Rachel Carson Center or its partners.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.699
Threshold uncertainty score0.429

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.6990.668

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 head0.008
GPT teacher head0.186
Teacher spread0.178 · 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 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
Published2023
Admission routes1
Has abstractyes

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