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Record W2788376814 · doi:10.32676/n.3.4

Analiza utjecaja oblika vlasništva na zaposlenost u Hrvatskoj

2018· article· en· W2788376814 on OpenAlex
Marija Beg, Domenika Mergl

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

VenueNotitia · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Development and Management Studies
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsContext (archaeology)Econometric analysisEconomicsBusinessEconomyDemographic economicsMacroeconomicsGeography

Abstract

fetched live from OpenAlex

In the public discourse of transition economies, as well as in scientific literature focused on their functioning, there is still an active debate on whether privatization should be encouraged in view of its effects on the economy. In the context of the effects of privatization on employment, this paper focuses on labor market developments in Croatia. The primary emphasis is on the analysis of employment by activity and ownership type. The main aim of the paper is to determine the impact of privatization, i.e. the growing share of private ownership, on employment in Croatia. The estimate is conducted using the OLS method in the EViews statistical package. The results of the econometric analysis indicate that the increase in the share of private property leads to an increase in employment. In view of the results obtained it is recommended to further reduce the high share of state ownership in the Republic of Croatia.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.008

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 head0.055
GPT teacher head0.227
Teacher spread0.172 · 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