MétaCan
Menu
Back to cohort
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 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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Explore more

Same venueInternational Journal of BiotechnologySame topicForest Management and PolicyFrench-language works237,207