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Record W2033233497 · doi:10.1177/0739456x02238445

Beyond Labels

2002· article· en· W2033233497 on OpenAlexaboutno aff
Tazim Jamal, Stanley M. Stein, Thomas L. Harper

Bibliographic record

VenueJournal of Planning Education and Research · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsPresuppositionRealismEssentialismMetaphysicsTourismEpistemologySociologyProcess (computing)Environmental ethicsPolitical scienceComputer scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This article advocates a neopragmatic approach to collaborative planning in protected areas characterized by historical conflict among diverse stakeholders. Our example is a multisectoral process initiated to address use and development conflicts in the international tourism destination of Banff National Park, Canada. We show how philosophical presuppositions (essentialism and metaphysical realism) can impede collaboration and exacerbate problems when categories like environmentalist and terms like ecological integrity are used. Rather than fixing categories and terms up front, a more fluid planning approach is advocated; terms are flexible and meanings emerge through dialogue. Shared descriptions replace contentious categories and terms.

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)0.005
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.245

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0050.007
Scholarly communication0.0130.021
Open science0.0020.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0730.039

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 head0.110
GPT teacher head0.393
Teacher spread0.284 · 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 designNot applicable
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

Citations43
Published2002
Admission routes1
Has abstractyes

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