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Record W4393851843 · doi:10.25071/073w7164

Building new relationships and connections in emergency management: The role of social work practitioners and human service professionals in disaster recovery

2022· article· en· W4393851843 on OpenAlex
Evalyna Bogdan, Julie Drolet, Kamal Khatiwada, Martin Gendron, Bonnie Lewin, Elladee Windsor

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Emergency Management · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsUniversity of CalgaryYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSocial workEmergency managementWork (physics)Service (business)Public relationsHuman servicesBusinessKnowledge managementPolitical scienceEngineeringComputer scienceMarketing

Abstract

fetched live from OpenAlex

Spurred by the climate crisis, disasters are growing in frequency and severity around the world. In Western Canada, the impacts of the 2013 floods, 2016 wildfires, and the Covid-19 pandemic have devastated communities. Social workers, and human service professionals who assist in meeting the needs of individuals, families, groups, and communities in overcoming challenges, such as education assistants, outreach workers, and child and family support workers, are increasingly involved in the mitigation, preparedness, response, and recovery phases of disasters. However, their role is not always visible or understood by emergency management professionals. Social work is a practice-based profession that responds to the needs of individuals, families, groups, and communities, and addresses barriers and injustices in organizations and society. This article shares the findings of the study “In the aftermath of the 2016 Alberta wildfires: The role of social work practitioners and human service professionals in long-term disaster recovery.” The study adopted a mixed-method research approach that recruited 140 participants to share their experiences in semi-structured interviews, an online survey, and focus groups. A thematic analysis of the data found that social workers and human service practitioners play many critical roles in disaster recovery. This includes advocacy, assessment, counselling, crisis intervention, trauma informed care, peer support, community development, providing services and programs, research, supporting first responders. Social workers can also provide valuable input into other disaster phases. For example, social workers are embedded in communities and have relationships with residents that can inform emergency plans. They provide emergency professionals insight into the needs of residents and bring collaboration skills that enhance preparedness and mitigation programs. The study findings call for greater recognition of the role of social workers and human service professionals in disasters by emergency management professionals. Implications and recommendations for social work and emergency management professionals are offered to facilitate interdisciplinary collaboration.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.308
Teacher spread0.276 · 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