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Record W4379136499 · doi:10.3233/sji-230031

Editorial

2023· editorial· es· W4379136499 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

VenueStatistical Journal of the IAOS · 2023
Typeeditorial
Languagees
FieldComputer Science
TopicData Analysis with R
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

The times they are a-changing After four years as Editor-in-Chief, the time has come to hand over the responsibility for the Statistical Journal of the IAOS (SJIAOS).These years, 2019-2023, reflected a very stormy period for Official Statistics.The COVID-19 pandemic, the Ukraine war, the climate crises, and related crises in housing, migration, and employment, to name just a few, all have had a strong impact on society in general and consequently also on Official Statistics.The IT and Data revolution accelerated the changes in the production and dissemination of official statistics.Data Ecosystems, with data from everywhere and Artificial Intelligence (AI) with Machine Learning (ML) as an important tool, have pushed Official Statistics to rapidly re-think its position and reformulate its strategies.Comparing the main themes in some recent conferences in Official Statistics, with those in conferences held some five years ago, shows this rapid transition.The New Technologies and Techniques in Statistics (NTTS) Conference 2023, held in March in Brussels, and the IAOS-regional ISI 2023 Conference held in April in Livingstone in Zambia, were full of presentations on the impact of AI and the new Data Ecosystem.In 2018 the program of the IAOS Conference in Paris concentrated on Big Data, globalization, and sustainable development indicators; themes still relevant but overtaken in emphasis by the reflections on issues like the Data ecosystem and AI.Technological developments have also an impact on scientific publishing, in general as well as in reporting in Official Statistics.The impact of Open Data, Fair publishing and AI as well as new ways of disseminating results will be the theme of the Special Invited Paper Session (SIPS) of the SJIAOS) 1 during the ISI WSC in Ottawa.The 16th discussion on the SJIAOS Discussion platform will have as theme the impact of developments in AI and the availability of data in the so-called Data Ecosystem.Not only has the content of the SJIAOS changed, but the period 2019-2023 shows a substantial increase 1 Scheduled for the 20th of July 2023.in authorship and readers.The visits/views (including downloads) of the SJIAOS section in the IOSPress content library have increased from 10.000 in 2018 to over 90.000 in 2022. 2 Beyond that, there are yearly over 30.000 visitors to the Journal's Official.Statistics website. 3In 2018, 87% of all the contributions were authored by colleagues from the traditional contributing ECE/OECD countries (mainly Europe, North America, Australia and New Zealand).In 2022 the percentage of authors from other regions of the world has gone up to almost 30%.The Journal has become a real global journal.The worldwide relevance of the IAOS is also confirmed by the most current 2023 IAOS-regional ISI Conference held from 4-6 April 2023, in Africa, in Livingstone, Zambia.SJIAOS Emphasis editor Michael Yang (NORC) reports that the successful conference brought together close to 400 statisticians from government statistics offices, universities, and world organizations who care about the value of Official Statistics to society.The theme of the conference was: Better Lives 2030: Mobilising the Power of Data for Africa and the World, which was faithfully reflected in the preconference training courses and workshops, conference presentations, panel discussions, and plenary sessions.Most of the participants were from African countries, but all continents were represented.The high level of the conference is also supported by the fact that some 10 authors have been invited to submit their manuscripts to the SJIAOS.The rising importance of Official Statistics in regions in Africa was strongly proven by the focus on statistical leadership training, a topic prominently featured in many sessions of the conference as well as in one of the pre-conference training courses.2. Special theme: Statistics on governance, peace and security (Praia Group)So-called 'City groups' are an important informal

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)0.003
metaresearch head score (Gemma)0.026
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Open science, Research integrity, 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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0070.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.011
GPT teacher head0.295
Teacher spread0.284 · 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