Disruption or reproduction? Nativity, gender and online dating in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The spread of the Internet has transformed the dating landscape. Given the increasing popularity of online dating and rising immigration to Canada, this study takes an intersectional lens to examine nativity and gender differentials in heterosexual online dating. Design/methodology/approach In 2018, a random-digit-dial telephone survey was conducted in Canada. Logistic regression models were used to analyze original data from this survey ( N = 1,373). Findings Results show that immigrants are more likely than native-born people to have used online dating in Canada, possibly because international relocation makes it more difficult for immigrants to meet romantic partners in other ways. In online-to-offline transitions, both native-born and immigrant online daters follow gendered scripts where men ask women out for a first date. Finally, immigrant men, who likely have disadvantaged positions in offline dating markets, also experience the least success in finding a long-term partner online. Originality/value Extending search theory of relationship formation to online dating, this study advances the understanding of change and continuity in gendered rituals and mate-selection processes in the digital and globalization era. Integrating search theory and intersectionality theory, this study highlights the efficiency of using the Internet to search for romantic partners and the socially constructed hierarchy of desirability as interrelated mechanisms that produce divergent online dating outcomes across social groups. Internet dating, instead of acting as an agent of social change, may reproduce normative dating practices and existing hierarchies of desirability.
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.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it