Autoethnography of a Pregnant Doula: An Anthropological Investigation of Birth Experiences During the COVID-19 Pandemic in Ontario and Quebec
Bibliographic record
Abstract
The COVID-19 pandemic has exposed weaknesses in the existing systems and institutions people depend on in all areas of life. Birth is no exception. This research shows that COVID-19 replicated dominant North American cultural scripts treating birth as a risky and stressful medical event. It goes further to explore how birthers themselves described their experiences. Drawing on autoethnographic reflections, ethnographic interviews and a WhatsApp group chat, this thesis documents the nuance in predominantly middle class, cis-gendered women’s experiences giving birth in Ontario and Quebec during the pandemic. It uncovers the overarching non-birther centric nature of local birth culture and argues for a more balanced view of the advantages and disadvantages of giving birth during a pandemic. The research highlights the increased labor women were burdened with but also points to the ‘things that worked’ for people giving birth during a pandemic. This study contributes to the broader literature on anthropology of birth by offering in depth autoethnographic reflections to understand the complex phenomenon of pandemic births.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".