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Record W7008036141

Analysis of program delivery services in First Nations, federal and provincial schools in Northwestern Ontario / by Patrick Brady

2017· other· en· W7008036141 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumProgram evaluationEducational programPhase (matter)Delivery systemProfessional development
DOInot available

Abstract

fetched live from OpenAlex

This study compares federal, provincial and First Nations schools? delivery of specific
\neducational services to Native students in Northwestern Ontario. Areas of comparison include
\nthose which the Indian Education Paper Phase One (INAC, 1982) regarded as "determinants
\nof program quality" (p. 20): (a) curriculum and standards, (b) staffing, (c) staff support and
\nsupervision, and (d) student support services.
\nData was acquired through the use of a survey questionnaire, structured interviews, and
\ndocument analysis. The primary research instrument, the survey questionnaire, was
\ndistributed to 37 public and separate boards of education, 28 First Nations schools, and 7
\nfederal schools. In addition to the questionnaire structured interviews were conducted with
\nthe Assistant District Superintendent of Education for an Indian and Northern Affairs Canada
\nadministrative district, as well as with a Superintendent of Education for an urban separate
\nschool board in the region. Furthermore, a number of documents provided by federal,
\nprovincial and First Nations agencies concerned with education in general, and Native
\neducation in particular, were analyzed.
\nThe results of the study indicate that all three educational systems have programs in place
\nto provide the above educational services to the Native students enrolled in their schools.
\nThere are, however, significant differences among the systems in the manner in which these
\nservices are implemented. Differences were found in the provision of a Native cultural
\ncomponent in the curriculum, the professional qualifications required of teaching staff, the
\nemployment benefit packages provided to educational employees, the nature of supervisory
\nrelations, and the provision of student support services.

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 categoriesMeta-epidemiology (narrow), Bibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.647
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0130.005
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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