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Record W3214062051 · doi:10.3968/12265

The Influence of Globalization on the Female Gender: The Igbo Example

2021· article· en· W3214062051 on OpenAlexvenueno aff
Kenneth Ubani

Bibliographic record

VenueHigher education of social science · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsIgboGlobalizationEthnic groupMeaning (existential)Gender studiesSociologyPolitical scienceSubject (documents)Development economicsPsychologyLawEconomicsLinguistics

Abstract

fetched live from OpenAlex

Gender issues, as contemporary discourse, may be said to be relative according to the understanding of its studies with emphasis on the meaning attached to it by those who study them. Nevertheless, it will be relevant to examine how globalization has effected or influenced the environment in which they exist. For example, gender issues in Europe may or may not be the same as in other countries due to a lot of factors. But looking at the universal nature of globalization and the subject of female gender, differences are bound to occur without disparaging the universal nature of basic human traits that make us ethnic, traditional or tribal men and women; the existence or disappearance of racial differences is paramount to interaction and relationships. This study looks at Igbo female gender and its relationship with proponents in the outside world. It scores the global female environment and the possible barriers faced by some cultural groups and how it helps to form new groups: that make social change positive towards cultural growth. Suggestions are made on how globalization could promote culture and positive governance without sacrificing traditional traits, status or values.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.010
Scholarly communication0.0030.003
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.040
GPT teacher head0.332
Teacher spread0.292 · 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 designQualitative
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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