The Challenges, Tensions and Possibilities of Homeschooling: An Autoethnography of One Educator’s Homeschooled Journey
Bibliographic record
Abstract
The traditional method of acquiring and receiving an education in Canada is to send children to government run schools, funded by the public. The promise of education attained through traditional schooling remains on structured and formal learning. Concerned about the education and safety of their children, an increasing number of parents are seeking educational alternatives. My family, in particular, sought out a new reform: the promise of homeschooling. This thesis adopted a qualitative approach using autoethnography to examine my perceptions and my realities on the subject of homeschooling, while interrogating the promise of education along intellectual, social, and interpersonal dimensions. This qualitative inquiry is designed to discover more deeply the feelings and perceptions that emerge when homeschooling occurs while an essentialism educational philosophy and an authoritarian teaching style is dominant in the classroom. I will share my personal experience engaging in cultural, educational, and social pressures and will provide insights on these approaches from a homeschooled student’s perspective as a researcher.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.019 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".