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Record W3044881986 · doi:10.1111/aos.13378

Professor Juhani Airaksinen

2017· article· en· W3044881986 on OpenAlexaboutno aff
Anja Tuulonen

Bibliographic record

VenueActa Ophthalmologica · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtyMedical schoolMedicineActive listeningOphthalmologyJazzOptometryPsychologyHistoryFamily medicineMedical educationArt history

Abstract

fetched live from OpenAlex

Professor P. Juhani Airaksinen passed away at the age of 68 on 24 October 2016, after a long and wearing disease. Juhani Airaksinen was born in 11 December 1947 in Helsinki, as the first child of his chief anaesthesiologist father Jorma Airaksinen and his mother Hilkka. In school pictures, Juhani looks to be a joyful and jovial young man whose school reports were not able to predict his many successes in adulthood. As his best grades were in singing, his familiar and likable voice was already recognized early on. He liked to ski to school and enjoyed listening to jazz. The time spent with his grandfather was especially important to Juhani. Juhani's considerable language skills were developed through regular meetings with his childhood English teacher, and as a consequence of his study of medicine at the University of Marburg, Germany, from 1969 to 1975. His first two children, Tiina (1973) and Jukka (1975), were born in Germany in his marriage with Tuulikki Hynninen. Juhani's choice of medical specialty became crystal clear when he first saw the fundus of the eye with a three-mirror lens. Juhani's ophthalmology residency (1977–82) and his thesis (1983) at the University of Oulu were mentored by Professor Henrik Forsius. His thesis – Detection of Early Glaucoma Changes After an Optic Disc Hemorrhage – led to a fellowship with Professor Stephen Drance at the University of British Columbia (1983–84). After Canada, together with Professor Anja Tuulonen, Juhani founded the Glaucoma Research Unit at the University of Oulu, which served for many years as a testing and reference site for first-generation ophthalmic imaging instruments. His daughters Hanna (1988) and Eveliina (1991) were born in common-law marriage with Anja Tuulonen. In addition to focusing on the detection and follow-up of early glaucomatous changes in the optic nerve and the retinal nerve fibre layer, as well as developing new photographic methods and techniques for imaging and analysis of the retinal nerve fibre layer, Juhani's research interests dealt with the treatment for glaucoma and, particularly, surgical techniques in refractory glaucoma. Professor Airaksinen was internationally influential in the field of ophthalmic research. Among other things, he has been decorated with the Government of Canada Award in 1983, the KKK Lundsgaard Medal in 1985, the Alcon Research Institute Award in 1986 and the Honor Award of the American Academy of Ophthalmology in 1995. He served as Chair of the ARVO Glaucoma Program Planning Committee (1994–95) and as a Member of the European Board of Ophthalmology's Education Committee (1992–2000), a Member of the Board of the Finnish Medical Society Duodecim (1997–99) and Chair of the Ophthalmological Society of Finland (1992–93). He was one of the founding members and the Honorary Member of the Finnish Glaucoma Society. In family circles as well as domestic and international forums, Juhani Airaksinen will be remembered as a charismatic and warm-hearted gentleman who had a unique ability to make people around him feel welcome and accepted. His company never felt boring. We remember with gratitude his accomplishments in improving glaucoma diagnostic research. As one friend touchingly phrased it, ‘The Northern Gods have a new colleague with a deep clear voice’.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.533
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.002
Scholarly communication0.0010.001
Open science0.0030.000
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 head0.173
GPT teacher head0.466
Teacher spread0.293 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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