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Record W2995988758

Refugees welcome? : How Germany, Canada, and Australia respond to contemporary migration

2019· dissertation· en· W2995988758 on OpenAlexaboutno aff
Lorenz Wiese

Bibliographic record

VenueKOPS (University of Konstanz) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeePolitical scienceGeographyEthnologyCriminologyGenealogySociologyHistoryLaw
DOInot available

Abstract

fetched live from OpenAlex

This dissertation studies how three different liberal democracies; Germany, Canada, and Australia, have experienced and reacted to contemporary migration, focusing on asylum seekers and refugees. Conceptually, it assumes that their admission leads to paradoxes for host states’ governmental apparatuses: If these migrants’ reasons to seek new lives outside of their home countries and regions are recognized, they need to be granted protection statuses and thus be ‘welcomed’ to stay temporarily or permanently. As a consequence of public ‘backlashes’ and anxieties, destination countries’ governments have however increasingly attempted to control and restrict their entry. To understand these phenomena, this study explains the underlying incentives and scopes for handling contemporary migratory movements primarily from a governmental top-down point of view. Historical institutionalism helps to understand the path-dependent emergence of certain policies in the context of each state’s particular actor constellations. Approaches taken from public choice theory are adopted to illuminate the connection between societal sentiments, discourses, and domestic political decisionmaking. Insights from delegation, blame and signaling games are used to complete this picture. Supplemented by expert interviews, the empirical part of this study deciphers the observable political developments, as well as the resulting administrative asylum/refugee regimes in 21st century Germany, Canada, and Australia. The selected cases include one ‘newcomer’ and two ‘classic’ immigration countries. In line with the conceptual model, its focus lies on key actors’ influences in the corresponding institutional set-ups, as well as the internal developments that are shaped by the historical paths, discourses and public opinion. The crosscountry comparison in this most different systems design shows that, although Germany’s, Canada’s, and Australia’s humanitarian commitments and overall experiences with contemporary migratory movements have differed sharply in many regards, certain phenomena have been recurring. In particular, political elites in all three states have been maneuvering fine lines between different policy objectives, attempting to ‘filter’ and ‘manage’ migration and settlement. The advancing externalization of border regimes made it more difficult to physically reach these states in the first place. But also once there, migrants have been facing other obstacles before eventually being granted protection statuses and the corresponding socioeconomic rights. The legal regimes have been complemented by widely hidden practices of ‘administrative deterrence’ aiming at the reduction of so-called ‘pull factors’. This has entailed dysfunctional and discriminatory refugee status determination systems which pit different migrant groups against each other and leave many in legal uncertainty for long periods. Only for particular subgroups of refugees, the way to an arrival in dignity has been paved in all three states. Further crucially, the observable overall convergence to more selective admission frameworks cannot distract from the fact that related challenges have been of completely different scales: The implementation of well-functioning asylum administrations certainly depends on the corresponding claimants’ numbers and profiles. Domestic conflicts over material priorities have nonetheless contributed to the development of short-term pseudo-solutions to the inherent dilemmas in all three cases. These often came at the expense of procedural fairness and long-term goals such as social ‘integration’. Instead of reflecting strategic decisions, many findings thus point out to political ‘muddling through’. The comparison of their preconditions and the corresponding outcomes provides starting points for emulating, consolidating or abolishing certain policies – in order to achieve more coherent and evidence-based decisionmaking in this controversial area.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.410

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.010
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.024
GPT teacher head0.260
Teacher spread0.236 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations1
Published2019
Admission routes1
Has abstractyes

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