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Record W7132712235

Use of Natural Resources in Sustainable Economic Development on The Example of The Venus Project

2017· dissertation· hr· W7132712235 on OpenAlexaboutno aff
Ivana Marić

Bibliographic record

VenueUniversity of Zadar Institutional Repository · 2017
Typedissertation
Languagehr
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVenusNatural resourceSustainable developmentSustainability
DOInot available

Abstract

fetched live from OpenAlex

Održivi razvoj je temelj nove filozofije koja se sastoji u procesu promjena u kojem se korištenje resursa, smjer tehnološkog razvoja i investiranja, te institucionalne promjene nalaze u harmoniji, omogućujući povećanje, kako sadašnjih, tako i budućih potencijala ljudskih želja i potreba. Za postizanje globalne održivosti bitno je prestati gledati na ekologiju i ekonomiju kao o ciljevima u konfliktu. Okoliš i održivi razvoj nalaze se već dulje vrijeme u središtu zanimanja znanstvene i stručne međunarodne javnosti, ali i cjelokupne svjetske zajednice, koja postaje sve svjesnija istinitosti riječi Alberta Einsteina kako se " ni jedan problem ne može riješiti na istoj razini svijesti koja ga je stvorila". Zato je danas jačanje svijesti i znanja o okolišu i održivom razvoju gotovo pa jednako pitanju opstanka civilizacije. Stoga je temeljna nit vodilja upravo teza da se zaštita okoliša smatra ozbiljnim problemom kojemu se mora pristupiti holistički ukoliko se želi postići i sačuvati kvaliteta života za nas same, kao i za buduće generacije, ali i da je zaštita okoliša značajan dio svih segmenata ljudskog života.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.989

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.202
Teacher spread0.160 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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