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Editorial

2006· editorial· nl· W4230838632 on OpenAlexaboutno aff
Jan Sundell

Bibliographic record

VenueIndoor Air · 2006
Typeeditorial
Languagenl
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceEnvironmental chemistryChemistry

Abstract

fetched live from OpenAlex

Ole, Ole, Marco.... In Issue 4 of Indoor Air, this year, we had a photo showing new, young, scientists in our area... Since Healthy Building 2006 in Lisboa, three giants in our field have passed away: Marco Maroni in June, Ole Valbjörn, and Ole Fanger in September. For elderly readers these names are well known. For a new generation they may possibly be only ‘names’. I have known Ole V and Ole F for more than 35 years, and Marco for almost 20 years. I met Ole V first around 1970 in the Nordic Ventilation Group. They were an unbelievable group of scientists and persons from the authorities that discussed the science within our area, and for example elaborated on standards for measurements of ventilation, and how to examine a ‘suspected Sick Building’. I guess this was the first forum to discuss such topics as ‘ventilation efficiency’ (based on Mats Sandberg's, Anders Svenson's and Eimund Skåret's thinking). Ole Valbjörn was very much involved in all of this, and in developing the NVG guideline for examining ‘Sick Buildings’. The questionnaire used for this purpose (later known as the Örebro-questionnaire) was to a large extent based on the questionnaire used in the first really important study on SBS in offices (with Ole V, Peder Skov, and Finn Gyntelberg as leading names, but with Ole Fanger also included). This questionnaire is today used in numerous studies all over the world. Ole V was an unusually social human being, besides being a great painter and musician (tenor saxophone). Ole F needs no introduction. He is by far the most well known scientist in our field. He has more honorary doctorates and prizes than any in the field of Indoor Air. He is the most well known person within IAQ sciences and within HVAC engineering. In his doctoral thesis he presented results that are today used in many standards regarding thermal comfort all over the world. Later on he presented OLF and decipol, new concepts regarding air quality, concepts that have been at the focus of scientific debate for almost two centuries. During his last years he became more and more concerned with the health effects of indoor air, mainly allergies. Soon after his death, I learned that he had been suffering from severe asthma! I met him around 1974 and we worked together in numerous committees (with him as the scientist and me as the authority, (I was working at the Swedish Authority for building codes, at the time). When I entered science, he soon hired me; apart from that we seldom had the same ideas and we often disagreed! I guess he, as I, enjoyed these discussions and that which we learned from each other! Late in 1977 Ole F called me and asked me to chair an IAQ session at an upcoming international conference, Indoor Climate, in Copenhagen (at WHO) 1978. It was the beginning of the series of Indoor Air Conferences (Amherst, Stockholm, Berlin, Toronto, Helsinki, Japan, Edinburgh, Beijing, Lyngby…). The main organizers were Ole F and Ole V (together with Ib Andersen)! Marco M came into the IA world later, from occupational medicine. His contributions to science have mainly been within other areas, than the main core of IAQ. However, in a very crucial situation, he saved ISIAQ and our journal! In the mid 90s, because of earlier mismanagement, we were close to bankruptcy, but Marco fixed it. Then he organized Healthy Building 1995 in Milan. These three people have been main players in the creation of ISIAQ, IAIAS and our journal, Indoor Air. They are all founders. They were all, dear friends and collaborators since long. I miss them deeply. The group on the photo, in issue 4, 2006, is becoming more and more important!

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.036
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0070.043

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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

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
Published2006
Admission routes1
Has abstractyes

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