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Immigration and Digital Government

2008· book-chapter· en· W4250013521 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

VenueElectronic Government · 2008
Typebook-chapter
Languageen
FieldSocial Sciences
TopicE-Government and Public Services
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGlobalizationDigital economyInformation economyContext (archaeology)EconomyEconomic integrationInformation societyPolitical scienceEconomicsGeographyLaw

Abstract

fetched live from OpenAlex

The information age of the 21st century has transformed the economic, social, and political landscape in a profound and indelible manner. It also has changed the role and functions of government and redefined the scope and substance of good governance. Never before in human history has the pace of structural change been more pervasive, rapid, and global in its context. The information age has precipitated profound structural changes in the economic landscape and has given birth to the new economy. The new global economy is composed of a trilogy of interactive forces that include globalization, trade liberalization, and the information technology and communications revolution. Globalization has melted national borders, free trade has enhanced economic integration, and the information and communications revolution has made geography and time irrelevant (Passaris, 2001). Immigration has taken on a new perspective in the context of globalization. There is no denying that the spread of Internet-based technologies throughout society has become the dominant economic reality of the 21st century. E-economy—the use of information and communication technologies for product and process innovation across all sectors of the economy—has emerged as the primary engine of productivity and growth for the global economy. In large part due to advances in information and communications technologies, the role of international borders in this globalized economy has been transformed from the traditional geographical frontiers to virtual economic communities. Innovations in transportation and information and communications technology also has impacted immigration flows and made the world, in the phrase coined by Marshall McLuhan (1988), truly a “global village”. Borders have become less relevant for digital content communications and transactions. Cyberspace has no natural demarcations or border patrols. Indeed, knowledge-based products, such as software, games, and music, cross borders without impediment and with relative ease (Passaris, 2003). The advent of the information age has had a profound impact on the nature and scope of e-government and has given birth to the digital government of the 21st century. In particular, the interface between government and immigration management has been redesigned and restructured in terms of access to immigration information and application forms, the processing of immigration applicants for admission, enforcement of security measures and the prevention of terrorist infiltration, and the time line for adjudicating immigration applications, to name just a few of the significant changes to the contemporary process by which the governments of immigrant-receiving countries enforce their immigration policies.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.959
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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