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Record W2142945195 · doi:10.19173/irrodl.v7i1.307

Book Review - Development and Management of Virtual Schools: Issues and trends. Editor Catherine Cavanaugh

2006· article· en· W2142945195 on OpenAlexvenueaboutno aff
Michael K. Barbour

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicKnowledge Management and Sharing
Canadian institutionsnot available
Fundersnot available
KeywordsEngineering ethicsPsychologyEngineering

Abstract

fetched live from OpenAlex

Within Canada, the virtual school movement is growing. Contact North, the virtual school serving Northern Ontario, reported 11,222 registrations in their 548 courses for the year 2000-01 In British Columbia, a partnership of eighteen school districts offered a pilot electronic distance education program for 2,200 students in 2001-02, while the Vancouver School Board (that province's largest school board) was in the process of setting up its own virtual school Over the past four years, the Centre for Distance Learning and Innovation in Newfoundland and Labrador has increased its offerings from 200 student enrolments from 76 different schools in ten courses in 2001-02 to 1,500 student enrolments from 95 different schools in thirty-five courses in 2004-05 (Government of Newfoundland, 2004). From 1995 to 1999, there were "23 online programs [that] have begun operating in the province [of Alberta]" "Alberta leads the [virtual schooling] pack with about 4,500 fulltime and 2,500 part-time K-12 students in online schooling -over 20 schools offer online courses" (O'Haire, Froese-Germain and Lane-De Baie, 2003, p. 6). However, there has yet to be a book published that has really addressed the virtual school movement across Canada. Cavanaugh's Development and Management of Virtual Schools: Issues and Trends is the first step in addressing that deficiency.

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)0.005
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.584
Threshold uncertainty score0.259

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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 science0.0000.001
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 head0.436
Teacher spread0.377 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2006
Admission routes2
Has abstractyes

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