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Record W2122793244 · doi:10.22230/jem.2005v6n2a317

Research and resource-dependent communities: A world of possibilities

2005· article· en· W2122793244 on OpenAlexaff
Robert Kozak

Bibliographic record

VenueJournal of Ecosystems and Management · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGlobeVariety (cybernetics)SustainabilityWork (physics)CommodityBusinessEcological footprintForest managementValue (mathematics)Resource (disambiguation)Ecosystem servicesQuality (philosophy)Environmental resource managementGeographyEconomicsForestryEngineeringEcologyEcosystem

Abstract

fetched live from OpenAlex

The recent International Union of Forest Research Organizations (IUFRO) World Congress, held in Brisbane, Australia, showcased a wide variety of high-quality presentations related to forestry research from around the globe. Little of this research, however, can be extended to forest-dependent communities in British Columbia, despite the need to transform the province's forest economy from a commodity orientation to a more diversified approach. Possible exceptions include opportunities to promote the value-added wood products industry, develop a meaningful non-timber forest products and services sector, and incorporate innovative approaches into core business strategies and modes of operation. In this paper, I also argue that much of today's forestry research does not consider the “big picture,” especially concerning sustainability issues and our current ecological footprint. We have come to a juncture in time wherein forestry researchers should take a leadership role with bold, innovative, and interdisciplinary work that serves to benefit the environment, the economy, and society as a whole.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.290
Teacher spread0.256 · 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.

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

Citations5
Published2005
Admission routes1
Has abstractyes

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