Immigrants Participation in Australian Politics
Bibliographic record
Abstract
Immigration is a thought-provoking and important topic in all western democratic societies. However, immigrant political participation levels in host countries varies vastly from country to country. Australia is one of the widely diverse multicultural countries in the world. This research project investigates the reasons why its diversity is not fairly represented in electoral politics with a focus on parliamentary representation. It identifies the reasons underlying immigrant participation or non-participation in formal politics in Australia through a detailed analysis of the barriers and enablers for political participation in two Sydney migrant communities. \nThis research also considers why Australia remains behind other comparative settler nations such as the United States and Canada in the visible inclusion of ethnic and migrant representation. Today’s modern world is a global village where globalisation has made it easy for people to move from one place to another. As a result, it is important to study immigrants and the role they play in host countries as active office bearers, voters, or as passive supporters of the political approach taking part in voluntary activities. \nThis research studies immigrants from ‘non-white’ and ‘non-European’ backgrounds to identify barriers and enablers to political participation in the Australian national parliament. The study finds that the generational difference of migration plays a vital role in political participation in host countries. Pre-migration background, initial settlement and language are some of the factors in deciding the reasons for participation or non-participation in the national political process in Australia. \nKey words: Australian politics, participation, immigrants, ethnic minorities, discrimination, inclusion, challenges, resettlement, community activities, multicultural country
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".