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Record W2897188317 · doi:10.1353/gpr.2018.0045

Out of Place: Social Exclusion and Mennonite Migrants in Canada by Luann Good Gingrich

2018· article· en· W2897188317 on OpenAlexaboutno aff
Royden Loewen

Bibliographic record

VenueGreat Plains research · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationSocial exclusionEthnographySociologyGender studiesGovernment (linguistics)Political scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

Reviewed by: Out of Place: Social Exclusion and Mennonite Migrants in Canada by Luann Good Gingrich Royden Loewen Out of Place: Social Exclusion and Mennonite Migrants in Canada. By Luann Good Gingrich. Toronto: University of Toronto Press, 2016. ix + 272 pp. Notes, references, index. $32.95 paper. Out of Place: Social Exclusion and Mennonite Migrants in Canada focuses on the social interaction between state-based social service agencies and Mennonite immigrants from Mexico in Canada, with a special focus on communities in southern Alberta and southern Ontario. Here vegetable farming and agriculture in general have provided them with opportunities for economic survival. But this very life also allows them to build social boundaries, with a modicum of education and selective participation in social services. Indeed, the newcomers’ cultural and religious survival depends on social exclusion. This is the central problematic of the book. As Gingrich puts it, “What do we do with a people who prefer the margins and refuse to fit in?” (4). The book begins with a rich ethnography, an interview [End Page 220] by Margaretha, an integrated Mennonite immigrant, with newcomer Susanna, who has known life in both Bolivia and Mexico. Gingrich invites the readers “to move alongside Susanna, even if this may not be your inclination . . . to accompany her for a time,” but then also “to move alongside the social workers” and other government agencies “who work to make a positive difference” in the lives of the newcomers (xii). Still, Gingrich is highly sympathetic to the immigrants and seems impatient with service workers who are unable to see it any other way than that these newcomers are “at odds with, if not offensive, to Canadian society” (48). Indeed, Gingrich draws deeply throughout the book from Bourdieu’s critique of modern society. She is overtly critical of a system, for example, which presumes middle-class values as the acid test of good parenting, with the state—and both its “right hand” and “left hand”—foisting its sense of “suitable cultural engagement” on parents who have their own meaning of good parenting (96). In a sense this volume contains two books. Much of it is not particularly accessible to the nonspecialist. On the other hand, it contains a rich ethnography, with long quotations from both immigrants and social service workers, telling their stories of social exclusion, desired by one party, denounced by the other, and reinforced by an incipient misunderstanding between both. The book is also very well researched, contextualized and referenced. Readers of Great Plains Research will welcome the author’s many insights into the multivariate objectives of the newcomers. As Gingrich argues, the Mexican Mennonites are both “unique and typical” (25), holding to values “common to rural, agrarian communities and cultures” everywhere (143); most reject the typical “common sense” attitude that masquerades as liberal, individualistic middle-class culture. But in the end she gives the Mennonites a shout-out, because they are, for all their imperfections, a folk that “holds to an enduring belief in non-violent resistance and peaceful relations with others” (222). In this sense the book is three in one: a theoretical exposé based on a complex Bourdieuesque sociology, a book on agrarian newcomers to North America, and an account of a uniquely traditionalist, nonviolent people. Royden Loewen Department of History University of Winnipeg Copyright © 2018 Center for Great Plains Studies, University of Nebraska–Lincoln

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.290
Teacher spread0.248 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2018
Admission routes1
Has abstractyes

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