Bibliographic record
Abstract
This article is a plain writing summary of a master’s thesis researched and written in the Department of Archaeology and Anthropology at the University of Saskatchewan between 2020-2023. This thesis examined how eighteen queer people living in Saskatoon, Saskatchewan made their reproductive decisions during the COVID-19 pandemic by asking what meanings do queer people in Saskatoon find in their reproductive decision-making processes, and how do those meanings influence those processes during the COVID-19 pandemic? Three themes emerged from these interviews. The first was how queer family structures are formed, including an analysis of the nuclear family and the ways that approach does or does not work for queer families and the gendered problems queer people face when contemplating pregnancy. The second centres on safety, with people born and raised in Saskatchewan prioritizing social safety and people born in different, sometimes less queer-supporting countries prioritizing physical safety when making reproductive decisions. The third is the relationship between COVID-19 and place, dissecting how the COVID-19 pandemic has changed the meanings of place through social distancing and isolation, and how the space between places (i.e., travel and remote connection software like Zoom) has changed meaning during this pandemic. This research has implications for informing institutional responses to Canada’s declining population levels and to better support queer people in making their reproductive decisions.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".