Exploring the relationship between threat arising from the COVID-19 pandemic and posttraumatic growth, values congruent behaviour, and prosocial behaviour
Bibliographic record
Abstract
The COVID-19 pandemic presents an opportunity to study the collective traumatic impacts of a global health crisis. Collective trauma refers to an event or period of time during which large numbers of people are exposed to threat, in such a way that it impacts the beliefs or narratives of the group indefinitely (Shamai, 2016). This can include acute stressors, escalating stressors (i.e.; public health epidemics), and chronic stressors (Luszcynska et al., 2009). The COVID-19 pandemic can be classified as escalating collective trauma. Collective trauma can lead to positive psychological outcomes (PPO) such as posttraumatic growth (PTG) (Wozniak et al., 2020) and prosocial behavior (Frazier et al., 2013). PTG is defined as, “positive psychological changes experienced as a result of the struggle with traumatic or highly challenging life circumstances” (Tedeschi et al., 2018, p.3). It can include changes in self, relationships, and worldview (Tedeschi & Calhoun, 1995). In order for PTG to develop, the traumatic stressor must be sufficient to disrupt previous core beliefs and elicit struggle to recreate worldview (Tedeschi et al.). It is unknown whether financial threat would yield sufficient distress to create the conditions necessary to foster PTG. Prosocial behavior is defined as an interpersonal behavior that is socially and contextually determined to be beneficial to others (Dovidio et al., 2006). When survivors of trauma report PTG and participation in prosocial behaviors, they describe increases in well-being (Frazier et al., 2013). Communities benefit from PPOs as they can yield increased helping behavior by survivors (Frazier et al., 2013). Existing research on the positive outcomes of collective trauma, however, predominantly focuses on mass casualty events such as school shootings (Wusik et al., 2015) or terrorist events (Rime et al., 2010). More information is needed to understand how global health crises, like the COVID-19 pandemic, contribute to the development of PPOs. This research project will examine the following hypotheses: 1. High ratings of threat and disruption of core beliefs will relate to higher PTG 2. Individuals who report PTG will also report increased engagement in prosocial behaviours and values congruent behaviours. 3. Prosocial and Values congruent behaviours will be most highly correlated with the Appreciation of Life and New Possibilities domains of PTG.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".