Australian Survey of Social Attitudes, 2022
Bibliographic record
Abstract
The Australian Survey of Social Attitudes (AuSSA) is Australia’s main source of data for the scientific study of the social attitudes, beliefs and opinions of Australians, how they change over time, and how they compare with other societies. The survey is used to help researchers better understand how Australians think and feel about their lives. It produces important information about the changing views and attitudes of Australians as we move through the 21st century. Similar surveys are run in other countries, so data from the AuSSA also allows us to compare Australia with countries all over the world. The aims of the survey are to discover: the range of Australians’ views on topics that are important to all of us; how these views differ for people in different circumstances; how they have changed over the past quarter century; and how they compare with people in other countries. AuSSA is also the Australian component of the International Social Survey Project (ISSP). The ISSP is a cross-national collaboration on surveys covering important topics. Each year, survey researchers in some 40 countries each do a national survey using the same questions. The ISSP focuses on a special topic each year, repeating that topic from time to time. The topic for the 2022 survey is "Family and Changing Gender Roles". This is the fifth time this has been the topic of the survey, having previously been the theme for the survey in 1988, 1994, 2002 and 2012. The data from questions A38,A39,A40, B12->B16, C2->C6, J11->J13, J46->J49, J61, J62, J64 and in all questions in sections D,E,F,G,H and I were embargoed until 1 January 2026, but are now available.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.010 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.077 |
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; both teacher heads agree on what is shown here.
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".