MétaCan
Menu
Back to cohort
Record W1541006067 · doi:10.7202/1071566ar

“But are we going to deal with the hard questions?”: Waves of Compassion in Halifax Regional Municipality

2020· article· en· W1541006067 on OpenAlex
Susan Walsh, Fabiana Gaspar Gonzalez, Phillip Joy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePaideusis · 2020
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsMount Saint Vincent University
FundersMount Saint Vincent University
KeywordsCompassionWonderSexual orientationSociologyPsychologySocial psychologyGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

Within broader social concern about compassion and learning to live well together in the world, a non-profit community-based organization called Waves of Compassion has emerged in Halifax Regional Municipality (HRM) in Nova Scotia, Canada. In this article, we explore how compassion relates to some “hard questions” that have arise for the organization—questions related to issues of marginalization and inclusivity: for example, what it might mean to “walk in another’s shoes,” particularly when that person or group of people is different from you in terms of age, race, ethnicity, sexual orientation, socioeconomic status, or citizenship. We also wonder what role the Waves organization might take up in terms of action and/or practice with regard to transforming inequity and promoting inclusivity in the community. We consider such questions in the context of data derived from a recent survey that Waves of Compassion undertook. We integrate found poems (many of which are derived from the survey data) and expository writing as means of underlining what some writers have said about compassion—that it involves both emotions and rational thought, the undoing of sharp distinctions between the two. We see compassion as a form of practice where boundaries and separations might be dissolved (at least at times) through being and knowing in different ways.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.244
GPT teacher head0.431
Teacher spread0.188 · 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