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Record W2342451127

Playing the game: the education of girls in private schools on Vancouver Island

2009· dissertation· en· W2342451127 on OpenAlexaboutno aff
Alice Mary Trueman

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipQueen (butterfly)NewspaperImmigrationCorporate governanceCurriculumGender studiesPolitical scienceSociologyMedia studiesManagementLaw
DOInot available

Abstract

fetched live from OpenAlex

By the mid-nineteenth century academics began to replace the accomplishments in schooling for middle and upper class girls in Britain. Immigrants brought both models to Vancouver Island. Angela College, a religious school clinging to the past, represents the old; Norfolk House, an urban largely day school, and Queen Margaret’s, a country boarding school with some day students, illustrate the two types of the new, reformed schools. This study draws on personal accounts, archival records, and contemporary newspapers to show that parents chose private schools for reasons of ethnic preservation, upward social mobility, and dissatisfaction with local public schools. A comparison of the founding, governance, finance, buildings and grounds, curriculum, headmistresses and teachers, students, parents, and succession plans revealed similarities and striking differences. Parental preference for strong leadership, scholarship, and character-development enabled Norfolk House and Queen Margaret’s to survive; the lack thereof combined with poor management doomed Angela College to failure.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.255
Threshold uncertainty score0.513

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.004
Scholarly communication0.0050.001
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.001

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.

Opus teacher head0.008
GPT teacher head0.267
Teacher spread0.259 · 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

Citations5
Published2009
Admission routes1
Has abstractyes

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