Bibliographic record
Abstract
Adam Makkai was born in Hungary (1935). He went to the United States in 1957, where he began teaching German, Russian, French, and Latin. He completed his Ph.D. in General Linguistics in 1965, with a dissertation which became the book Idiom Structure in English (The Hague: Mouton, 1972). By this time Makkai used Sydndy Lamb's theoretical model of stratificational linguistics, now known as neurocogintive linguistics. In this context, in 1974 he founded the Linguistic Association of Canada and the United States (LACUS), whose symbol is "the Great Lakes, providing a natural border between Canada and the United States", standing "for more than the convenience of acronymy. Most of his academic career was spent at the University of Illinois in Chicago (UIC) of which he became Professor Emeritus. He received several awards, as the Presidential Gold Medal from the President of Hungary (1999). Makkai and Alwin Fill are the authors of the first two introductions to ecolinguistics ever to be written, the former in English and the latter in German. Makkai's introduction is mentioned in the first question below. The first three ecolinguistics anthology published in Europe have one chapter written by him. These are: 1) "Die Welt als Bewusstsein und Paraphrase: zur gesamtökologischen Fundierung des menschlichen Sprachverständnisses mit besonderer Berücksichtigung der Sprachphilosophie Wilhelm von Humbolts und ihrer Relevanz für die theoretische Sprachwissenschaft des 21. Jahrhunderts", published in Fill, Alwin (ed.). Sprachökologie und Ökolinguistik (Tübingen: Stauffenburg, 1994, p. 77-91); 2) (with Valerie Becker Makkai): "The case for ecolinguistics", in Kettemann, Bernhard & Penz, Hermine (eds.). ECOnstructing language, nature and society (Tübingen: Stauffenburg, p. 105-117; 3) "The role of the human voice in the eco-semantics of human interaction", in Fill, Alwin; Penz, Hermine & Trampe, Wilhelm (eds.). Colourful green ideas (Bern: Peter Lang, p. 219-236). In ECO-REBEL Makkai published two articles: 1) Porque **ecolinguística**, v. 1, n. 1, 2015, p. 22-37; 2) Da gramática pragmo-ecológica à ecolinguística (1973-1993) v. 2, n. 2, 2016, p. 37-41. More information on Makkai's professional activities are available in Louise O. Vasvári's article "Ádám Makkai: Polyglot linguist, poet and literary translator between languages", published in Hungarian Cultural Studies: e-Journal of the American Hungarian Educators Association, Volume 6 (2013): http://ahea.pitt.edu DOI: 10.5195/ahea.2013.178 (accessed in 14/05/2019). This interview take place between 2002 and 2004.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".