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Record W4300822702

Schooling across Contexts: The Educational Realities of Old Colony Mennonite Students

2016· article· en· W4300822702 on OpenAlexaboutno aff
Wendy A. Crocker

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyPedagogyGender studiesPsychology
DOInot available

Abstract

fetched live from OpenAlex

This paper narrates the schooling experiences of the Old Colony Mennonites (OCM) across two contexts based on my first-hand observations as a principal in a rural, southwestern Ontario school and on a research trip to the Cuauhtémoc, Chihuahua, area of Mexico. The OCM children described in this paper attend public school in southwestern Ontario and travel regularly to Mexico where many of the families hold property or visit family. Thus, during one calendar year, these OCM children often attend schools in two countries with important differences in the use of language(s) and literacy practices, expectations in the classroom, and even the meaning of playing outside. This reality, which requires OCM students to adapt to the expectations of two very different learning cultures, is an important facet in the life of these children, whose experiences of school and education are vastly different. Using ethnographic methods and case study tools including photos, I describe the educational settings of Ontario and Chihuahua where OCM students are schooled. Further, I illustrate how the diaspora from Russia to Manitoba, Canada, the subsequent migration to Mexico, and then the return of the OCM to Canada (this time Ontario) was partially predicated on the need to find places where their beliefs about education could be enacted, a search that continues to the present.

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)0.002
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 score0.292
Threshold uncertainty score0.581

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0190.013
Scholarly communication0.0060.002
Open science0.0010.009
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.162
GPT teacher head0.520
Teacher spread0.358 · 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
Published2016
Admission routes1
Has abstractyes

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