Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.209 | 0.149 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".