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Record W7031674457

Editorial Foreword

2021· article· en· W7031674457 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2021
Typearticle
Languageen
FieldComputer Science
TopicDigital Education and Society
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicEditorial boardCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Global challenges
DOInot available

Abstract

fetched live from OpenAlex

This editorial of December 2021 is written at a time when the world continues to reel from the effects of COVID-19. foreword of issue 13(2) of December 2020 I wrote optimistically that, “it is likely to be well into 2021 before the beneficial influences of vaccines will be felt through the world”. Whilst these influences are being felt the omicron mutation of the virus is spreading and the pandemic continues. There is still much to be done is establishing an equitable sharing of vaccines throughout the world. Working and researching in global contexts affected by the pandemic, Living Educational Theory Researchers continue to contribute their educational knowledge to the professional knowledgebase of education as they ask, research and answer questions of the kind, ‘How do we improve our practice as global citizens as our individual and collective contributions to bringing into being a world of human flourishing?'. The sites of practice of contributors to issue 13(2) highlighted the international reach of Living Educational Theory Researchers with papers from researchers in New Zealand, India, Pakistan, Canada and Bangladesh. The sites of practice of contributors to issue 14(2) include Bangladesh, the Bahamas and Nepal. The two books reviewed are those of Suresh Nanwani researching in the Philippines and Robert Maxwell in the UK.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.714
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0050.005
Open science0.0040.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.214
GPT teacher head0.556
Teacher spread0.342 · 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 designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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