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Record W6889792756 · doi:10.26253/heal.uth.13317

Η συμμετοχή των στρατιωτικών μονάδων στην οικονομία της Μαγνησίας

2021· other· el· W6889792756 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Thessaly Institutional Repository (University of Thessaly) · 2021
Typeother
Languageel
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)

Abstract

fetched live from OpenAlex

This dissertation investigates contribution and effects of the Military Units of Magnesia on the economic life of the region, the relations between the local economy and the operation of the four main camps based in it.It studies and highlights through an international review, the support given by Military Bases in the local economies of their settlements in countries such as the USA, the United Kingdom, Germany and Canada, in order to continue the research of the financial contribution of the military Units in Magnesia.The main part of the work attempts to show the social and economic footprint in Magnesia of each Military Unit separately and then to analyze the current state of the local economy to find growth margin for improvement of the development model.The ultimate goal is to show the links that connect the Military Units with the economy of Magnesia and the degree of its dependence on 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.517
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.003
Science and technology studies0.0030.009
Scholarly communication0.0000.001
Open science0.0060.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.180
Teacher spread0.166 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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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