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Record W4403372457 · doi:10.1515/9780228023265

West Coast Mission

2024· book· en· W4403372457 on OpenAlexaboutno aff
Ross A. Lockhart

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2024
Typebook
Languageen
FieldArts and Humanities
TopicChristian Theology and Mission
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyGeology

Abstract

fetched live from OpenAlex

Vancouver, British Columbia, now reports “no religion” as its leading religious identity, putting it in the vanguard of a trend happening across North America. What does this mean for the Christian communities that continue to worship, work, and witness in this mostly secular city? West Coast Mission seeks to uncover where Christianity in Vancouver is headed now that it is a minority belief system in the broader culture. Drawing on a five-year study of fourteen sites, including church plants, congregations, and para-church agencies, Ross Lockhart describes how Christians in Vancouver are organizing their communities, shaping their beliefs, and expressing themselves in mission. He finds that, rather than simply declining, Christianity in the city is adapting in response to immigration, decolonization, pluralism, and social crises. Christians are focusing on friendship and social connection in a culture that identifies as “spiritual not religious,” on affordable housing as a missional concern, on the communal value of environmental stewardship, and on sharing the gospel in light of the destructive legacies of colonialism and residential schools. West Coast Mission explores the evolving spectrum of religious identity in Vancouver and the significant cultural shifts taking place in how Christian mission and witness are approached in a secular city.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.360
Threshold uncertainty score0.716

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.001
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1880.066

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 head0.021
GPT teacher head0.207
Teacher spread0.186 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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