MétaCan
Menu
Back to cohort
Record W4220772123 · doi:10.21125/inted.2022.1291

HOMESCHOOLING: AN EXPERIENCE

2022· article· en· W4220772123 on OpenAlexaboutno aff
Ursula Jahn

Bibliographic record

VenueINTED proceedings · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Education Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Most educators would be familiar with education provided children in specific agencies such as “schoolhouses”. These agencies could be a one-room school building in a rural setting or it could be massive multi-storied school building in an urban setting. Minimal education is mandated in Canada for all children aged 5 years to 16 years; however, many children complete their high school diploma as a minimum level to obtain entry level employment or acceptance to post secondary education programs. During the past eighteen months, during the COVID pandemic, many parents lost their jobs and all schools were closed. The expectation came that parents would teach their children at home. How effective this approach was has yet to be determined and is not part of my presentation. The COVID pandemic elicited one type of homeschooling, however, on a regular basis there are many homeschooling endeavours across Canada. In Canada education is funded by the federal government but the provincial governments maintain jurisdiction of education in each province. Each province sets up a provincial curriculum through its ministry of education. The ministry of education sets rules and regulations for education entities, including for homeschooling. Homeschooling is readily available to allow parents to provide education for their children. Objectives: 1. Provide a short introduction to home schooling;2. Discuss why home schooling is;3. Describe how home schooling meets Saskatchewan laws and regulations regarding education of children;4. Share home school projects, experiments, and documentsMethodology:Quantitative enquiries are used to identify numerical success and to measure monetary success. Qualitative methods are used for narratives, case studies and success stories. Objective 1: Introduction to “home schooling”.Home-based education is an educational program: a) provided to a child who has attained the age of 5 years but has not attained the age of 18 years. b) that is started at the initiative of and is under the direction of the parent or guardian of the child. c) in which the child is receiving instruction at and from the home of the child.Objective 2: Discuss Why home schooling is.Numerous reasons exist why parents prefer to home school. Reasons can be religious, child safety, control of content as examples.Objective 3: Describe How home schooling meets Saskatchewan rules and regulations.Parents may choose to accept the responsibility to personally direct the education of their children; it is expected that they will provide a sound educational program as outlined in the Education Act 1995 and the Home-Based Education Program Regulations, 2012. Home-based educators are supported through a variety of educational services.Objective 4: Share home schooling projects, experiments, and documents. Copies of the children’s intents to homeschool and year end reports will be provided.References:[1] Public and Catholic School Boards: Homebased Educator Hdbk February 2021 with hyperlinks.pdf (rcsd.ca)[2] Home Based Education - Regina Catholic School Division (rcsd.ca)[3] Home-Based Education | Regina Public Schools

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0050.005
Open science0.0020.009
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0140.003

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 head0.041
GPT teacher head0.358
Teacher spread0.317 · 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 designQualitative
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

Explore more

Same venueINTED proceedingsSame topicDiverse Education Studies and ReformsFrench-language works237,207