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Record W2144932588 · doi:10.37119/ojs2011.v17i3.72

Teacher Recruitment and Retention in Select First Nations Schools

2013· article· en· W2144932588 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuein education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSchool Choice and Performance
Canadian institutionsUniversity of ReginaUniversity of Saskatchewan
Fundersnot available
KeywordsSalaryPolitical scienceAdministration (probate law)Consumption (sociology)Economic growthMedical educationPublic administrationMedicineSociologyEconomicsSocial science

Abstract

fetched live from OpenAlex

Historically, the inequitable funding for First Nations schools in comparison to funding for provincial schools has been an issue from the time of early day schools, to residential schools in which students worked half a day to tend to crops in order to grow food for consumption by students and staff, and to present day where band-managed schools still experience lack of funding. Similarly, the lower salary levels for teachers in federal and today in First Nations-managed schools has been identified as a significant issue related to teacher retention. The purpose of this research was to identify current factors affecting teacher recruitment and retention in present day First Nations’ managed schools. In this paper we report on one case study comparing funding and teacher retention in one provincial school system and schools in one Tribal Council in Saskatchewan.Keywords: funding; First Nations schools; administration; teacher recruitment; teacher retention

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.987

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 science0.0000.000
Research integrity0.0000.000
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 head0.058
GPT teacher head0.365
Teacher spread0.308 · 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