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Record W6906472133 · doi:10.17603/ds2-sqf4-9k45

Green social work educational resources in Canada

2022· dataset· en· W6906472133 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTexas Advanced Computing Center · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumWork (physics)SustainabilitySocial workSocial mediaSocial network (sociolinguistics)Social sustainabilityFocus group

Abstract

fetched live from OpenAlex

Green social work (GSW) is a relatively new framework within social work. The primary objective of this approach is to integrate an environmental focus. GSW aims to address economic oppression, engage in disaster resilience, and sustainable practices. The project GSW Education in Canada aims to comprehensively examine the Canadian schools of social work programs (Bachelor, Master, and Ph.D.), related courses, areas of faculty specialization, and placement opportunities. This project examines the level of GSW teaching and knowledge mobilization in the Canadian social work educational system. Consequently, through website keywords (e.g., climate change, disaster, environment, green social work, and sustainability) searching, data from the academic institutions’ official websites for 45 universities and colleges were collected. These data include (1) course descriptions, (2) faculty members areas of research and/or practice, (3) when possible, social work field placement opportunities. The first iteration of this data included information about faculty members, including name and research or practice specialization. However, faculty members’ data is not able to be published due to privacy and ethical concerns. This data set emphasizes the Canadian post-secondary institutions’ emphasis or lack of focus on GSW. This information might encourage schools of social work and faculty members to promote GSW research, teaching, and practice through integrating disaster response, climate change, and sustainability practices. International and Canadian social work researchers could use this data to identify future research collaborations across Canadian geographical areas where GSW curricula can be further developed. Prospective social work students can use this data to find GSW-related programs and courses and network with faculty members with related research interests. For the public, this data can provide information about social work courses and curricula across Canada and highlight the scholars with relevant expertise amongst the institutions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.153
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0170.000

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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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