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Record W2955341966 · doi:10.1145/3328529.3328552

Examining Social Media Use by Immigration Agencies in Canada

2019· article· en· W2955341966 on OpenAlexafffundabout
Maria Gintova

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicE-Government and Public Services
Canadian institutionsToronto Metropolitan University
FundersMinistero dello Sviluppo EconomicoGovernment of Canada
KeywordsSocial mediaGovernment (linguistics)Public relationsVariety (cybernetics)ImmigrationBusinessQuality (philosophy)Internet privacyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

The use of social media1 has become an important part of government communication strategies and practices. Governments now choose to be present on social media platforms and interact with the public. However, many government agencies view social media as a new, cheaper way to distribute information to a variety of audiences and are not actually interested in engaging with the public. Research to date, on the other hand, emphasizes that the use of social media by government should involve two-way interaction with the public, and calls for ensuring that public input is reflected in policy-making and public service delivery. This paper argues that there are important privacy and quality considerations that need to be taken into account in government use of social media in Canada. It also explores perspectives of Canadian public servants and social media users on what constitutes the effective use of social media and its integral components -- quality and privacy.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.999

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)0.0020.000

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 head0.037
GPT teacher head0.237
Teacher spread0.200 · 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 teacher head, not a consensus.

Study designObservational
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 routes3
Has abstractyes

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