MétaCan
Menu
Back to cohort
Record W2097395224

A Qualitative study on the experiences of students attending Thunder Bay area rural, one-room schools in the early 20th century

2009· dissertation· en· W2097395224 on OpenAlexaboutno aff
Jennifer Isotalo

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2009
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicDiverse Educational Innovations Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThunderBayQualitative researchRural areaPedagogyMathematics educationGeographySociologyPsychologyMedicineSocial scienceArchaeologyMeteorology
DOInot available

Abstract

fetched live from OpenAlex

One-room country schools, which began appearing in the early 1900s in the District of Thunder Bay in Northern Ontario, Canada, provided educational opportunities to the children of the first and second generation immigrant settlers to the area. The purpose of this qualitative study was to investigate, through the oral history interview process, the experiences of students who attended these one-room schools and to examine the socialization processes employed through this organized education system for integrating the children of immigrants into a specific representation of Canadian citizenship culture. The five participants in this study were, at the time of attendance at school, one landed immigrant, three first generation Canadian citizens and one second generation Canadian citizen.

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)0.006
metaresearch head score (Gemma)0.008
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 score0.818
Threshold uncertainty score0.361

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0200.013
Scholarly communication0.0050.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.099
GPT teacher head0.341
Teacher spread0.241 · 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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueKnowledge Commons (Lakehead University)Same topicDiverse Educational Innovations StudiesFrench-language works237,207