MétaCan
Menu
Back to cohort
Record W2341114917 · doi:10.22145/flr.43.2.4

Meeting Australia's Labour Needs: The Case for a New Low-Skill Work Visa

2015· article· en· W2341114917 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFederal Law Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsWorkplace Health, Safety and Compensation Commission
Fundersnot available
KeywordsEconomic shortageWork (physics)BackdoorLabour economicsMigrant workersProject commissioningBusinessGig economyPolitical sciencePublic relationsEconomicsEngineeringPublishingLabour lawEconomic growthLawComputer securityComputer science

Abstract

fetched live from OpenAlex

Abstract This article examines whether Australia's regulatory settings for temporary migrant labour are working effectively and argues that a backdoor currently exists which permits the entry of low skilled migrant workers on visas which are not for a work purpose, namely the international student visa and the working holiday maker visa. We propose that an explicit visa pathway be created for low and semi-skilled workers so that the working conditions of these visa holders are more appropriately monitored and to enable Australia's temporary labour migration program to better meet skill shortages in the economy.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.796
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.365
Teacher spread0.291 · 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