Roots, Rights and Risk: Canada, Childhood and the COVID-19 Global Pandemic.
Bibliographic record
Abstract
The COVID-19 global pandemic highlights pre-existing inequities as well as the challenge of ensuring the protection of children’s human rights in countries like Canada that have ratified the United Nations Convention on the Rights of the Child. SARS-CoV-2, referred to as the 2019 novel Coronavirus disease or COVID-19, presents a significant threat to public health. Although children are considered to be low risk of contracting, spreading, and serious complications of the disease, are considerably impacted by COVID-19 government-sanctioned distancing measures. COVID-19 is a persistent public health threat, thus, the long-term consequences are largely unknown. This qualitative research study, a content analysis of online Canadian media reports of COVID-19 and children, engaged transdisciplinary social justice methodology, social constructions of childhood at the intersection of race, socio-economic status, gender, and disability. The findings suggest COVID-19 reinforces the impact of social exclusion and economic disparity on equity-seeking young people and families in Canada.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.037 | 0.025 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".