MétaCan
Menu
Back to cohort

Consequences of the Civil War in Syria and Ways of Overcoming Them

2020· article· en· W3084418031 on OpenAlexaboutno aff
А. В. Крылов

Bibliographic record

VenueWorld Economy and International Relations · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)Political scienceGeopoliticsPoliticsRefugeeSpanish Civil WarLawlessnessPolitical economyCaliphateEconomic sanctionsDevelopment economicsLawSociologyEconomics

Abstract

fetched live from OpenAlex

Apparently, the war in Syria is coming to an end. The reincarnation project of the classical caliphate under the banner of the “Islamic State” has failed completely. The internal political opposition which rebelled against the ruling regime in the midst of the so-called “Arab Spring” agreed with the idea that there was simply no alternative figure capable of replacing B. Assad. The international sponsors of the Syrian opposition have also changed their attitude towards official Damascus and do not intend to spend further billions of dollars on operations to remove the Syrian leader. This article is an attempt to find answers to more urgent and topical issues for Syria that arise now: where to find great sums of money to restore the destroyed social and economic infrastructure of the country? How to solve the urgent problem of millions of Syrian refugees and temporarily displaced persons? What reforms are needed to avoid new bloodshed and recurrence of the events of the recent past? The author analyzes geopolitical and socio-economic consequences of the unfinished war. Particular attention is paid to the problems of Syrian refugees in other countries and internally displaced persons in Syria itself. The article emphasizes that the task of the reconstruction of Syria is complicated by the fact that this country has not yet been able to restore its territorial integrity and security in some areas. In addition, the recovery process is hampered as a result of the existing economic and financial sanctions imposed on Syria by the European Union, USA, Canada, Australia, Turkey, and the UN.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.014
Scholarly communication0.0080.005
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.067
GPT teacher head0.269
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueWorld Economy and International RelationsSame topicRegional Socio-Economic Development TrendsFrench-language works237,207