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Political Philosophy: The Ethics of Globalization and Scenarios Provides Educational Message to the Society

2020· article· en· W4293121002 on OpenAlexaff
Ananda Majumdar

Bibliographic record

VenueCross-Currents An International Peer-Reviewed Journal on Humanities and Social Sciences · 2020
Typearticle
Languageen
FieldComputer Science
TopicEducational Challenges and Innovations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCiceroDemocracySOCRATESThe RepublicGlobalismPoliticsIdeal (ethics)GlobalizationSociologySocial scienceLawEnvironmental ethicsPolitical scienceEpistemologyPhilosophyHistoryClassics

Abstract

fetched live from OpenAlex

Roman Ideal of Republic explained the meaning in this way where Cicero excluded black people (race in society), poor people, but in the modern republic we all are included, which guaranteed the republic for all (a shared moral values). The purpose of the topic is to understanding globalization and the proper implementation of its ethics from the Roman Republic to the 20th century’s democracy, violence, human rights etc. based on the theories like consequential and non-consequential. It is an educational philosophy by learning democracy and its openness, its current violent atmosphere, and learning through the artistic politics for a new set-up of philosophic education in the school curriculum. Methodologies have been constructed by academic journals and books. The outcome of the essay helps to find out the problems of ethics in the present scenario and its connection from the era of Cicero, Socrates, Plato, Bentham, Aristotle, and Immanuel Kant. The feature question is do ethical terms implement from the beginning of the republic to the current globalism? If not, how can it be implemented?

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)0.004
metaresearch head score (Gemma)0.004
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 score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.030
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.224
GPT teacher head0.440
Teacher spread0.216 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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