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Record W2294132110 · doi:10.5539/eer.v6n1p1

Strategic Environmental Assessment as an Instrument for Sustainable Development of the Danube Corridor Through Serbia

2016· article· en· W2294132110 on OpenAlex
Boško Josimović, Marina Nenković-Riznić, Saša Milijić

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnergy and Environment Research · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
FundersMinistarstvo Prosvete, Nauke i Tehnološkog Razvoja
KeywordsSustainable developmentStrategic environmental assessmentSpatial planningPlan (archaeology)Environmental planningStrategic planningEnvironmental resource managementProcess (computing)BusinessInclusion (mineral)Process managementEnvironmental impact assessmentComputer scienceGeographyEnvironmental sciencePolitical science

Abstract

fetched live from OpenAlex

Strategic environmental assessment is one of the most important instruments for the implementation of sustainable development strategy in spatial planning in general. Given the importance of the Danube corridor in ecological, economic and social terms, as well as the fact that it is a significant corridor for international navigation, it is important to consider the significance and possibilities of applying SEA in planning the sustainable spatial development of this area. This paper presents the methodological framework for applying the SEA carried out for the needs of the Spatial Plan, in particular for the section of the Danube corridor passing through the Republic of Serbia. The paper focuses on the inclusion of all aspects of sustainable development in the SEA process, especially when conducting qualitative multi-criteria evaluation of the planning solutions. The results obtained indicate that the impacts (positive and negative) of the planned activities provide a basis for making decisions that should enable sustainable development of the planning area.

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)0.001
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 score0.364
Threshold uncertainty score0.998

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.048
GPT teacher head0.332
Teacher spread0.284 · 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