“Our community needs to heal”: Using Photovoice to Explore Intergenerational Memories of Civil War with Young Central Americans in Toronto
Bibliographic record
Abstract
In 2020, our research collective facilitated a photovoice project titled “Picturing Our Realities: Arts-based Reflections with Central American Youth in Canada,” which brought together young, second-generation, and one-and-a-half-generation (born in another country and moved at a young age) Central American identifying people in Toronto to talk about their experiences growing up as children of immigrants. This photovoice project reveals the ways the civil war and migration process is a haunting presence in the lives of second and 1.5 generation Central American Canadians as they grow up and carve their paths as adults. We can see how unresolved social conflict emerges and shapes family memory, sense of self, understandings of community, and means of engaging in community activism and community work. We argue that this act of remembering and paying homage to previous generations is a means of confronting and resisting past injustices and forming ways of healing from the afterlives of violence. This recognition of the afterlives of mass violence, and the calls of action that this recognition entails, may form a powerful catalyst for community organizing and creating community spaces to respond to historical hauntings and structural violence.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".