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Record W7056758536

Faith-Inspired Praxis of Love

2021· article· en· W7056758536 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2021
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPraxisFaithSpiritualityRelevance (law)Conceptual frameworkField (mathematics)Social work
DOInot available

Abstract

fetched live from OpenAlex

The motivations of people of faith in the helping field are often misunderstood. In social work, while there has been a growing interest in making space for integrating the clients’ spirituality and practice (Canda & Furman, 2010; Hodge, 2013), the role of the practitioners’ faith in practice has not received much attention. To this effect, there is a lack of conceptual framework that describes their aspirations in helping and caring and what such practice looks like in everyday reality.\nThis dissertation presents a two-part study each culminating in two different developments. First, in light of a missing conceptual framework, I conducted a content analysis of the work of Jane Addams, Dorothy Day, Martin Luther King, Jr., Jean Vanier, and Mary Jo Leddy. These five notable leaders in Christian wisdom tradition and public initiatives integrated their faith with practice, each working in different ways for the common good. I systematically reviewed and analyzed their work and abstracted key concepts and themes important to understanding their aspirations and practice. The culmination was the conceptual framework of faith-inspired praxis of love.\nTo refine the framework, I engaged in a multiple-site case study at three contemporary sites involving The Working Centre, Sanctuary Ministries of Toronto, and Metropolitan Community Church of Toronto. The second part of the study presents the site reports and an updated framework based on the new insights gained through field work. The dissertation concludes with a discussion of guiding processes and key elements of the framework and its relevance for social work.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.010
GPT teacher head0.194
Teacher spread0.184 · 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 designBench or experimental
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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