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Record W1903743689 · doi:10.20360/g23025

Land of Shadows

2000· article· en· W1903743689 on OpenAlexvenueaboutno aff
Bernard W. Andrews

Bibliographic record

VenueLanguage and Literacy · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyPedagogyLiteracySociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

To the First Nations of Canada Prelude When I decided to pursue a teaching career, I undertook teacher training in Western Canada.During the course of my studies, many hours were spent in discussions with colleagues on the issues and concerns of First Nations peoples within educational institutions.What particularly struck me were the good intentions and intense frustrations of these teachers and administrators, many from the northern areas of the prairie provinces, who were attempting to improve the conditions of children on the reserves.What I personally witnessed was considerable poverty and deprivation, and a clash of oral and literate cultural perspectives that manifested itself throughout most of my career as a music teacher, teacher educator and educational researcher.In the field of music education, traditional instruction emphasizes individual competition, ensemble discipline, music literacy, architectonic forms and singular idioms such as the concert band, choir or string orchestra.This approach is appropriate for those Canadians of English, French and later European backgrounds who are socialized into Western cultural patterns.However, for Aboriginal peoples or those recent Canadians of Asian or African ethnicity, concert bands and choirs are foreign entities.Their music emphasizes individual participation, group co-operation, oral transmission, improvisation and multi-levelled communication.Many times I experienced tension in my classroom when the culture-specific practices of oral and literate forms clashed in my classroom; for example, when my students preferred rap, reggae, drum or throat music, and I required them to learn a march, suite, overture or symphony.Conflicting patterns of oral and literate socialization are intensified by the effects of the modern media--the radio, telephone, television, computer and fax machine.The electronic field replays many of the traits of oral cultures, such as immediacy, spontaneity, a high level of participation, and visual imagery.Rock music, for example, is topical, improvisatory, group-composed and highly visual, and it is predominantly transmitted by oral means.Moreover, as both speech and tone are created simultaneously, the music is inseparable from the words.In literate societies, words and notes are conceived as objective things separate from their performance.In oral cultures, there is no such split of thought and action so that performer, composer and listener are combined in one entity.Where literate societies preserve their music in writing, oral cultures store theirs through the physical assimilation of movement; that is, the person is the tradition.I did not fully understand the notion of 'person as tradition' until several years later.When training and supervising Aboriginal music teachers in northern Ontario, I experienced once again the cultural clash between literate Western and oral Aboriginal patterns of thinking.The issue that raised anxiety was my institution's emphasis on lesson plans as a key determinant of effective teaching and success in teacher education, and the reluctance of First Nations teacher-candidates to produce them.They adopted a "watch then do" approach to teaching.They explained it best when they stated that life is not a question of "What's next?" which represents our Western predilection for planning, but rather one of "What's happening?"They were concerned with living in the 'now' and not in a pre-determined future that may or may not occur.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.954
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.007
Scholarly communication0.0070.001
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0740.005

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 head0.006
GPT teacher head0.299
Teacher spread0.293 · 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
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

Citations2
Published2000
Admission routes2
Has abstractyes

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