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Record W1980585363 · doi:10.1080/00049180802419179

An ‘Effective’ Involvement of Indigenous People in Environmental Impact Assessment: the cultural impact assessment of the Saru River Region, Japan

2008· article· en· W1980585363 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAustralian Geographer · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsIndigenousEnvironmental impact assessmentEnvironmental planningImpact assessmentGeographySocial impactEnvironmental resource managementPolitical scienceEnvironmental scienceSociologyPublic administrationEcology

Abstract

fetched live from OpenAlex

Abstract The Cultural Impact Assessment of the Saru River Region represents the first time that a site investigation was implemented in Japan in order to preserve an ethnic culture in relation to the construction of a dam. One of the project's basic concepts was to get local residents, especially those of Ainu ethnicity, to participate in the investigation. Existing case studies of environmental impact assessment have argued that the assessment has failed to sufficiently involve Indigenous people in its process and has largely failed to incorporate Indigenous knowledge, cultural values, and voices into its processes and outcomes. Also, intangible aspects of Indigenous cultural heritage have not been protected. In the Cultural Impact Assessment of the Saru River Region, the Final Report was released in 2006 and significantly included the 3 year investigation of input by local residents. In this sense, this assessment succeeded in effectively involving Indigenous people in its process and in reflecting their cultural values in its results. The more important issue is, however, how these results were included in the final outcomes. If Indigenous people have no power over final decision making, their involvement is not effective. This paper analyses the significance and unresolved problems involved in this overall assessment process.

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.

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 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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.304
Teacher spread0.290 · 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