Bibliographic record
Abstract
Research in advanced industrialized democracies on social attitudes toward same-sex marriage suggests that intergroup social contact and positive media coverage play an important role in promoting tolerance and support for same-sex marriage. Using AmericasBarometer survey data for eighteen countries in 2010, 2012, and 2014, this article examines the ways in which individual-level Internet use interacts with news exposure, country-level quality of democracy, Internet penetration, and their association with support for same-sex marriage. The results suggest that not only is Internet use associated with greater support for same-sex marriage, but that among those who both use the Internet and pay more attention to the news, the positive effects are amplified. In addition, national level of democracy, economic development, and Internet use are also associated with overall higher probabilities of supporting same-sex marriage. We find that Internet use has a strong positive association with the probability of supporting same-sex marriage as the percentage of the national population on the Internet increases. These findings extend our understanding of social and political tolerance of same-sex marriage in Latin America.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".