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Record W3142604168 · doi:10.51644/tmvl3315

Welcoming and Belonging: Voice, Acceptance and Purpose

2021· article· en· W3142604168 on OpenAlexaboutno aff
Kevin P. Driver

Bibliographic record

VenueConsensus · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

mmigration in Canada is a fact of history and it will continue to be an integral part of Canada's future.Many churches in rural Canada are uniquely positioned to be on the frontline in welcoming and creating belonging as many rural areas and small towns are seeking growth from the outside, from either migrant or immigrant journeys. 2My research examined the space or role a church can create for ministry by bringing together the established community and the newcomers (recent immigrants).By measuring voice, acceptance and purpose against the backdrop of Welcoming and Belonging we demonstrated a tool for the local church to use in measuring levels of integration in a local community.The research demonstrated that a church, by example, can come alongside the larger community to help create stronger community between established residents and newcomers.An hour's drive west from Calgary the mountains rise on every side inviting people to the Bow Valley and the Town of Banff (TOB); here we find Banff's Full Gospel Church (BFGC).We looked at our own journey in voice, acceptance and purpose and, through the use of surveys, interviews and focus groups, identified Welcoming and Belonging in selected stories found in the bible and in the stories of recent immigrants and established residents of BFGC in the Bow Valley.Located in a tourist town, BFGC has always had an ever-changing international visitor population.The influx of Temporary Foreign Workers (TFW) in 2006 saw more people staying for longer periods of time and more nationalities beginning to appear in the congregation.The make-up of the church in 2006 was fifty-six regular attendees from nine different nationalities and five different languages.In 2015, at the time of this study, there were eighty-eight regular attendees from twenty-three different nationalities and twelve different languages.Now, in 2019, Banff is a community comprised of over ninety-one different nationalities and the church continues to reflect that diversity among attendees.1 Kevin received a Bachelor of Theology degree in 1987 from Northwest Bible College (Vanguard College) in Edmonton, Alberta.In 1999, he earned a Master of Divinity degree from Edmonton Baptist Seminary (Taylor Seminary), with a focus on cultural and urban ministries.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.318
Teacher spread0.295 · 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 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
Published2021
Admission routes1
Has abstractyes

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