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Record W6891546731 · doi:10.4225/87/t5bnz7

Australian Survey of Social Attitudes, 2015

2021· dataset· en· W6891546731 on OpenAlexaboutno aff

Bibliographic record

VenueAustralian Data Archive · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)General Social SurveyTheme (computing)Survey data collectionSurvey researchSurvey methodologySocial research

Abstract

fetched live from OpenAlex

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 2015 is "Work Orientations". This is the fourth time this has been the topic of the survey, having previously been the theme for the survey in 1989, 1997 and 2005. The AuSSA 2015 questionnaire was split into two booklets. Booklet A and Booklet B. Both booklets contained identical ISSP module and Personal Background sections, but some contributor sections had alternate questions. Within each wave, Booklet A was randomly assigned to half of the respondents, Booklet B to the remaining half. Waves 1 and 2 were conducted simultaneously in time (August) due to delays in Ethics approval, while Waves 3 and 4 were conducted on schedule in November 2015 and February 2016 respectively. Topics covered were work orientation, Health and work, Work, Support and Emotional Wellbeing, Early childhood, Ageing, Environment, Aboriginal policy, Insurance, Personal background. The following variables are embargoed until Jan 1, 2018 - A51, All in Sections B,C,D,F,G,H, I27, I28, I29, I36, I37. The following variables are embargoed until Jan 1, 2019 - All in Section E.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0080.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.010

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.

Opus teacher head0.172
GPT teacher head0.406
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

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Same venueAustralian Data ArchiveFrench-language works237,207