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Legal foundations of educational management in Canada

2022· article· en· W4283730927 on OpenAlexaboutno aff
S. E. Titor

Bibliographic record

VenueE-Management · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Teacher Training
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Control (management)Public administrationPolitical scienceQuality (philosophy)Public relationsManagementEconomics

Abstract

fetched live from OpenAlex

World education at the present stage consists of many different national systems. They differ from each other in national goals and objectives, cultural traditions, as well as the state of the quality of education. Russian education is undergoing a stage of reform. Now the transformations have affected the sphere of control (supervision) of educational organizations. General trends in changes in control and supervisory activities are aimed at reducing the administrative burden on business and, at the same time, increasing the protection of legally protected values. During the discussions, among other things, it was proposed to replace state control (supervision) with public control in certain areas. It will be relevant to analyze the experience of managing the education system,including state and public control, in foreign countries. As an example, the article considers Canada, which has much in common with Russia: multinationalism, large territory, federal structure, levels of education, etc., while Canada has a high rating on the assessment of education at the world level. The author assessed the management of the Canadian education system, the legal regulation of state and public control (supervision). Studying foreign experience will allow integrating it into the Russian education system, which, in turn, will allow integrating Russian education in the global world. The study was conducted using comparative legal analysis, generalization of information.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.952
Threshold uncertainty score0.994

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)0.0070.000

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 head0.034
GPT teacher head0.334
Teacher spread0.300 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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