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Record W2001618229 · doi:10.1504/ijbt.2007.014273

Public perceptions of hybrid poplar plantations: trees as an alternative crop

2007· article· en· W2001618229 on OpenAlexafffund
Pamela D. Neumann, Naomi Krogman, Barb R. Thomas

Bibliographic record

VenueInternational Journal of Biotechnology · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Management and Policy
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaAlberta-Pacific Forest Industries
KeywordsPerceptionAgricultureCompetition (biology)Public landIdentity (music)Land useAgroforestryGeographyPolitical scienceEcologyPsychologyBiology

Abstract

fetched live from OpenAlex

This paper describes the differences between expert and public perceptions of plantation forestry and calls for greater public participation in the development and establishment of plantations. The debate over the social acceptability of varying land-uses is essentially a debate over how land is valued and the effects of land-use change on local peoples. This study reports the findings from 31 interviews with key informants, indicating central themes such as farming identity, trust and economic competition as important to an overall assessment of community perceptions of hybrid poplar plantations. Specifically, we suggest that all of these themes are linked to complex attachments to traditional rural land-use and fear of externally motivated change. Findings from this study contribute to a greater understanding of the public values at stake around tree plantations, where experts have emphasised ecological impacts and economic trade-offs and generally disregarded the social concerns raised above.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.294
Teacher spread0.276 · 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 designBench or experimental
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

Citations14
Published2007
Admission routes2
Has abstractyes

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