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Record W2624237084 · doi:10.1177/0091829617712579

Missiological implications for Taylor Seminary arising from Canada’s Truth and Reconciliation Commission’s recommendations

2017· article· en· W2624237084 on OpenAlexaffabout
Allan Effa

Bibliographic record

VenueMissiology An International Review · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicChristian Theology and Mission
Canadian institutionsTaylor College and Seminary
Fundersnot available
KeywordsCommissionActive listeningGovernment (linguistics)GenocideSpiritualitySociologyCurriculumPolitical scienceLawMedicine

Abstract

fetched live from OpenAlex

In 2015 the Truth and Reconciliation Commission of Canada concluded a six-year process of listening to the stories of Canada’s First Nations, Inuit and Métis peoples. More than 6000 witnesses came forth to share their personal experiences in listening sessions set up all across the country. These stories primarily revolved around their experience of abuse and cultural genocide through more than 100 years of Residential Schools, which were operated in a cooperative effort between churches and the government of Canada. The Commission’s Final Report includes 94 calls to action with paragraph #60 directed specifically to seminaries. This paper is a case study of how Taylor Seminary, in Edmonton, is seeking to engage with this directive. It explores the changes made in the curriculum, particularly in the teaching of missiology, and highlights some of the ways the seminary community is learning about aboriginal spirituality and the history and legacy of the missionary methods that have created conflict and pain in Canadian society.

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)0.041
metaresearch head score (Gemma)0.061
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: Empirical · Consensus signal: none
Teacher disagreement score0.879
Threshold uncertainty score0.876

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.061
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0140.016
Scholarly communication0.0140.006
Open science0.0050.005
Research integrity0.0150.015
Insufficient payload (model declined to judge)0.0080.001

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 head0.117
GPT teacher head0.363
Teacher spread0.245 · 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
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
Published2017
Admission routes2
Has abstractyes

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