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Record W3108580597

UNDERSTANDING THE DECREASE IN THE NUMBER OF STUDENTS AS A CONSEQUENCE OF MIGRATION- MACEDONIA

2018· article· en· W3108580597 on OpenAlexaboutno aff
Elsa Pollozhani

Bibliographic record

VenueKnowledge International Journal · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Socioeconomic and Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHuman migrationDestinationsMirroringImmigrationPhenomenonPolitical scienceOrder (exchange)Development economicsGeographyPopulationSociologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Migration is an inseparable process of the establishment of human societies, and there are different types of migrations and of different character, depending on the reasons and the causes. Migration has always been oriented towards developed countries. In the past, on an international level, among “preferred” destinations for immigrants have been USA, Canada and Australia. With the end of World War Two, there was a new wave which was more attracted to the old continent. Europe soon started to attract many workers from the region as well as from other continents. At the end of the twentieth century, even those European countries that previously sent migrants to wealthier countries began to receive migrants from the rest of the world. Certainly, underdeveloped countries are those that are most affected by migration. Part of this group is also Macedonia, which has been mostly affected by economic migration as a specific type of migration, which in the last years has had an unstoppable flow. Taking into consideration this situation, through this paper titled “Understanding the decrease in the number of students as a consequence of migration-Macedonia” I will deal with the phenomenon of migration which causes social disorders with consequences on the country’s perspectives. In order to construct a clear and concise paper, mirroring the current situation, I will rely on the empirical-analytical research method. The research interest of the paper will focus on the situation of the last three decades, starting from 1990 to today. The actual situation with special focus on economic migration, which implies the aim for better living conditions, will be presented through precise figures. As a result of these movements, this group of the population lives a better life in the western countries; however their home country is losing its people and there is a significant decline in schools. In order to give an accurate description of the situation we will rely on data published by institutions that deal with statistics and these kinds of demographic movements. Some of these institutions include the State Statistical Office of the Republic of Macedonia, the statistical office of the EU called Eurostat etc., which have published worrying data concerning the continued fall of the number of students in schools in the country. According to this data, the situation is even more alarming in the schools in Albanian language, particularly in places with Albanian majority.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.075
GPT teacher head0.355
Teacher spread0.280 · 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 designObservational
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
Published2018
Admission routes1
Has abstractyes

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