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Record W3186080520 · doi:10.5539/hes.v11n3p89

The Digital Etiquette Enhancing to Global Citizenship of Social Studies Teachers in a New Normal Society

2021· article· en· W3186080520 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.

venuePublished in a venue whose home country is Canada.
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

VenueHigher Education Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Communication Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEtiquetteGlobal citizenshipPublic relationsPovertyDigital RevolutionDigital societyQuality (philosophy)Knowledge societySocial mediaSociologyInformation societyVirtual spaceSpace (punctuation)Digital transformationPolitical scienceMedia studiesComputer scienceLaw

Abstract

fetched live from OpenAlex

The world is transforming into a post-digital society, as a result, people gain the freedom to communicate, share values and knowledge in a society without borders. The virtual world has become a social interaction space while being integrated to enhance the life quality of citizens in many organizations, such as online class management, health management, and poverty alleviation. From the current circumstances, numerous online users still lack responsibility in handling social media which can cause widespread impact. The study of the digital etiquette of world citizens in a new normal society will provide good practice for effective use of the online space in the digital world of global citizens.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.101
GPT teacher head0.449
Teacher spread0.348 · 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