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Record W3208879215

Public participation and management of natural resources: what potential influence for participants?

2021· article· fr· W3208879215 on OpenAlexaboutno aff
Élizabeth Durand, Charles Duprez, Stéphanie Yates

Bibliographic record

VenueRevue internationale de psychosociologie et de gestion des comportements organisationnels · 2021
Typearticle
Languagefr
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
Fundersnot available
KeywordsOpenness to experienceTransparency (behavior)DocumentationPublic relationsPublic participationProcess (computing)Citizen journalismPublic sectorSet (abstract data type)Political scienceNatural resourceKnowledge managementBusinessPsychologyComputer scienceSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Several public authorities in the energy and natural resources sector in Canada and Quebec have set up participatory mechanisms to better integrate citizens’ concerns in the planning of their projects. To this end, the ministries have developed a corpus of texts structuring their approaches and their relationships with participants. The objective of this article is to study how the potential of influence granted to the participants on the decision-making process is transcribed in this documentation. We used we the documentation of four Canadian (2) and Quebec (2) counterpart ministries. From these documents, we carried out a qualitative analysis of content guided by six key principles emerging from the literature and testifying the influence granted to the participants. Although participatory approaches open the decision-making process to the general public, they are based on symbolic participation. Greater transparency and openness in the process through systematic reporting, a clearer definition of the role of the expert and the establishment of a culture of evaluation of the participatory process could help build a more authentic participation. The small sample of this study as well as the choice to retain six criteria prevent the generalization of this observation. However, the present study provides a better understanding of how public authorities in this sector of activity perceive the potential of participants to influence the decision-making process. It would be relevant for future research to see how these processes are actually set up and how participants perceive them.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.108
GPT teacher head0.355
Teacher spread0.246 · 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 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
Published2021
Admission routes1
Has abstractyes

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Same venueRevue internationale de psychosociologie et de gestion des comportements organisationnelsSame topicEnvironmental and Social Impact AssessmentsFrench-language works237,207