MétaCan
Menu
Back to cohort
Record W2478492114 · doi:10.4324/9781315645810

The Language Loss of the Indigenous

2016· book· en· W2478492114 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousLinguisticsHistoryPsychologyPhilosophyBiologyEcology

Abstract

fetched live from OpenAlex

List of tables & figures. List of Abbreviations. Notes on editor & contributors. Introduction: Aphasia: The Fate of the Indigenous Languages 1. Symbolic Power, Nation State and Indigenous Language: A Sociological Analysis of Tribes in Central India 2. Text, Subtext and Context of Indian Culture in the Developmental Paradigm of Globalization 3. Adivasi Art: The Convergence of the Intangible and the Tangible 4. Aesthetics of Representation: Media and Canadian Aboriginal Resistance 5. The Forgotten Tribe - The Kuravars Of Tamil Nadu 6. Tesu and Jhenjhi: A festival celebrating cultural life 7. Articulating Tribal Culture: The Oral Tradition of Lambadas 8. Micro and macro intergenerational oral communication in the Zion Christian Church 9. Sacred Places as Traditional Heritage for the Vhavenda Indigenous Community of Limpopo Province, South Africa 10. Translating Power, Gender and Caste: Negotiating Identity, Memory and History: A Study of Bama's Sangati 11. Historiography or Imagination? The Documentation of Traditional Luo Cultural Memory in Kenyan Fiction 12. Tackling Endangered Languages in the Midst of Diversity Lachman 13. Language Shift among the Waddar Speakers 14. Towards a Revitalization of Urhobo: An Endangered Language of Delta State, Nigeria 15. Itsekiri: Threatened and Endangered 16. Written Kikuyu as an Under-Developed Language Form: Evidence from an Exploration of its Phonology and Orthography 17. Endangered! The Igbo Language Dilemma in Nigeria 18. Aspects of Discourse Structure: A Case of Particles 19. Mobile Telephone Communication and the Akan Language Glossary. Index.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.840
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.427
Teacher spread0.394 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations9
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicMultilingual Education and PolicyFrench-language works237,207