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Record W4287197110 · doi:10.5281/zenodo.4698616

Multicultural Societies: Future of Human Civilization

2021· article· en· W4287197110 on OpenAlexaboutno aff
Mona Beniwala, Anshu Raj Purohit

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGlobalization and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismCivilizationEnvironmental ethicsEpistemologySociologyPolitical sciencePhilosophyPedagogyLaw

Abstract

fetched live from OpenAlex

Globalization has made this world inter-connected. World is turning into global village, where there is an amalgamation of various cultures. Migration has been a part of human history. Due to such mass movements multicultural societies came into existence which is quickly changing the face of the modern world. Though there are many challenges in the way of peaceful establishment of such societies but still these are rapidly blooming in the various parts of USA, Canada, Australia and many European nations. These multicultural societies make world vibrant as these have a lot to offer from knowledge, values, customs, beliefs and to new perspectives. Thus, proliferation of multicultural societies should be motivated by the governments and the people in general. These can make further strengthen relations between different communities so that all can work for mutual progress and thus world peace is achieved.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.014
Scholarly communication0.0090.008
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0160.003

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 head0.045
GPT teacher head0.296
Teacher spread0.252 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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