MétaCan
Menu
Back to cohort
Record W2606093701

Counselling Children after Wildfires: A School-Based Approach/ le Counseling Aupres Des Enfants Apres Un Incendie De Foret : Une Approche Centree Sur L'ecole

2017· article· fr· W2606093701 on OpenAlexvenueaboutno aff
Blythe Shepard, Judith C. Kulig, Anna Pujadas Botey

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2017
Typearticle
Languagefr
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyForestry
DOInot available

Abstract

fetched live from OpenAlex

Canadas forests cover almost half of the country's landmass and make up 10% of the world's forest cover (Raulier, Le Goff, Gauthier, Rapanoela, & Bergeron, 2013). As Canada experiences hotter and drier summers, there is an increased risk in frequency and severity of forest fires across most of the country (Institute for Catastrophic Loss Reduction, 2012). Over the past decade in Canada, about 8,000 forest fires have occurred annually, consuming approximately 2.5 million hectares of forest (Beverly & Bothwell, 2011; Natural Resources Canada, 2014). In the summer of 2015, 504 new fires burned 1,226,353 hectares of area in Canada in one week, four times more than the national average for that time of year. Seasonal fire occurrence and area burned were both above the 10-year national average (Canadian Wildland Fire Information System, 2015).Of most concern are wildfires that start in or reach the outskirts of settled areas, referred to as wildland-urban-interface (WUI) fires. These WUI fires often threaten valuable assets and severely disrupt the lives of local residents; their economic and social costs can be substantial (Taylor, Stennes, Wang, & Taudin-Chabot, 2006). There is increasing concern about the number of vulnerable communities at the WUI and the possibility that the area vulnerable to interface with fire may be increasing (Taylor et al., 2006). For example, in May 2016, the costliest disaster in Canadian history (Evans, 2016) took place in Fort McMurray, Alberta, destroying approximately 2,400 homes and buildings and forcing the largest wildfire evacuation in Alberta history (Parsons, 2016) while burning approximately 590,000 hectares (Fort McMurray wildfire, 2016).Experiencing wildfires can be alarming for children: the damage to what was familiar, including one's home and community, can threaten a child's sense of safety and normalcy. In the aftermath of wildfires, families can face challenges such as dealing with insurance companies or relocating after their home has been destroyed. A child's psychological recovery in the aftermath of destructive wildfires is typically dependent on the ability of parents and other caregivers (e.g., teachers and school counsellors) to provide the child with emotional support and adaptive coping strategies to help the child return to normal routines (Baggerly & Exum, 2008; Lazarus, Jimerson, & Brock, 2002).In this article, we build on our work that examined the effects of wildfires on families, children, and the whole community after the May 2011 wildfires in the Slave Lake, Alberta, area (Kulig et al., 2012a, 2012b, 2012c, 2012d; Pujadas Botey & Kulig, 2014; Townshend et al., 2015). The information generated is useful to a variety of professional groups, including teachers and counsellors, who may interact with children that have experienced disasters. Indeed, the latest figures that track disasters show that in 2012, 1.8 million North Americans experienced displacement due to natural disasters (Emergency Events Database, 2013). It would seem likely that, at some stage in their careers, school counsellors will work with students who have themselves experienced a disaster.The current article focuses on promoting the healing of children affected by wildfires based on results from our mixed methods study outlined in detail elsewhere (Kulig et al., 2012a, 2012b, 2012c, 2012d; Pujadas Botey & Kulig, 2014; Townshend et al., 2015). The present focus is on what school counsellors can do to provide developmentally appropriate interventions to children who have experienced wildfires. We begin with a brief review of the literature on children and their responses to natural disasters, and to wildfires in particular, before briefly outlining the approach to the study. We then offer some of the learning that has emerged from our research, which has implications for school counsellors and personnel in supporting children who have experienced wildfires. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score0.248

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0020.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Counselling and PsychotherapySame topicFire effects on ecosystemsFrench-language works237,207