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.
Bibliographic record
Abstract
Erno August Lehtinen (male), Born 1950, Turku Finland, ORCID identifier 0000-0001-6188-862X Finnish citizen Education and degrees awarded 1984 Ph.D., Educational Science, University of Turku; 1979 Licentiate of Education, University of Turku; 1976 MA, Educational Science, University of Turku Current position 2018- Professor Emeritus (part time contract, 10%), Department of Teacher Education, University of Turku, Finland 2019- Visiting professor, Education Academy and Institute of Education, Vytautas Magnus University, Lithuania Previous work experience 2010-2014 Academy Professor (distinguished research professor nominated by the Academy of Finland) 2003-2009 Vice Rector of the University of Turku 1998 – 2018 Professor of Education, University of Turku (50% 2003-2009; leave of absence 2010-2014) International visiting professorships: 2013 October- December, 2019 May, Visiting professor: Universität Regensburg, Germany 2011 (November) - 2012 (January)Visiting professor: University of Gothenburg, Sweden 2006 (January –February )Visiting Professor: Simon Fraser University, Canada, Universität Regensburg, Germany (March-April); Max Planck Institut Berlin, Germany (May-June). 1994 (January-December) Visiting Professor, Learning Research and Development Center, University of Pittsburgh, USA 1990 (April - June) Visiting Professor, Centre for Research on Learning and Instruction, University of Edinburgh, UK Research funding (Only projects in which Lehtinen has been the PI) About about 40 project funded by Research Council of Finland, European Union, Nordforsk, Ministry of Education, International and Finnish foundations. Experience as academic supervisor Supervision of doctoral, and post-doctoral studies from 1988 (University of Turku, University of Joensuu, University of Jyväskylä, University of Tampere, in Finland; University of Tartu, Estonia, University of Regensburg Germany; Technical University of Munich, Germany; Vytautas Magnus University, Lithuania). Supervisor of 50 completed PhD degrees. Scientific associations and awards European Association for Research on Learning and Instruction, EARLI (Member of the Executive Committee 1989-93, President Elect 1999-2001, President 2001-2003; ex office member of the Executive Committee 2013-2017. American Educational Research Association (Member) 1990- .Finnish Academy of Science and Letters (Invited Member), 2000- Outstanding Publication Award of the European Association for Research on Learning and Instruction 2007 (together with Minna M. Hannula). Honorary doctorate, Gothenburg University (Sweden) 2008. Oeuvre Award, European Association for Research on Learning and Instruction, 2009. International Academy of Education (Invited Member) 2010-
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.784 | 0.151 |
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 it