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Record W2352195606

The Skilled Migration Polices and Their Influences in the Developed Country:Taking America and Canada as Examples

2007· article· en· W2352195606 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCollected Papers of History Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicBorder Security and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsCONTESTOrder (exchange)Competition (biology)GlobalizationPopulationHuman migrationDevelopment economicsDeveloping countryDual (grammatical number)Political scienceEconomic growthEconomicsMarket economySociology
DOInot available

Abstract

fetched live from OpenAlex

International population movement takes on some evident features under the background of economic globalization,one of which is the increase of the skilled migration.The situation of skilled migration are favorably received in the world has something to do with the migration polices of the developed countries.America and Canada made the skilled migration polices in order to respond to the contest for global talents brought by information revolution and are very successful in attracting skilled migration.Meanwhile,we can see that the skilled migration polices of America and Canada have dual influences.The Asian countries should make active measures and formulate their own talent strategy in order to get initiative in the competition for international talented person.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score0.788

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.029
GPT teacher head0.296
Teacher spread0.268 · 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