Bibliographic record
Abstract
Computer corpus of Finnish telegraphese language (with English interlinears and translation).\n\nThe Finnish Telegraphese Corpus is a product of a cross-linguistic study of telegraphic language produced by normal adult subjects (university students) to describe a set of states of affairs. The responses were gathered in written questionnaire format, and the states of affairs to be described were held semantically identical across the languages studied. A selection of published studies of the project is listed below.\n\nTesak, Jürgen, Jussi Niemi & Päivi Koivuselkä-Sallinen: Telegraphese and ellipsis in German and Finnish: A comparison. In: C. Mair & M. Markus (eds.), New Departures in Contrastive Linguistics. Innsbrucker Beiträge zur Kulturwissenschaft, Anglistische Reihe Band 5. Innsbruck 1992. Pp. 75-83. \nKoivuselkä-Sallinen, Päivi, Jussi Niemi & Jürgen Tesak (1993): Word Order in Simple Structures in Finnish and German. In: A. Crochetiere, J.-C. Boulanger & C. Ouellon (eds.), Actes du Xve Congres International des Linguistes, Quebec, Universite Laval, 9-14 aout 1992/Proceedings of the Xvth International Congress of Linguists, Quebec, Universite Laval, 9-14 August 1992. Sainte-Foy: PU Laval, 1993, Vol. III, pp. 489-492.\nTesak, Jürgen, Elisabeth Ahlsén, Gábor Györi, Päivi Koivuselkä-Sallinen, Jussi Niemi & Livia Tonelli: Patterns of ellipsis in telegraphese: A study of six languages. Folia Linguistica 24: 297-316 (1995).\nNiemi, Jussi, Jürgen Tesak & Päivi Koivuselkä-Sallinen: Telegraphic style and agrammatism in Finnish and German. In: L. Heltoft & H. Haberland (eds.), Proceedings of the Thirteenth Scandinavian Conference of Linguistics. Department of Language and Culture, Roskilde University (1996). Pp. 483 - 493.\nTesak, Jürgen & Jussi Niemi: Telegraphese and agrammatism: A cross-linguistic study. Aphasiology 11: 145-155 (1997).\n\nMore information: https://kitwiki.csc.fi/twiki/bin/view/FinCLARIN/FinClarinSiteUEF\n\nlog\n25.11.2018 link http://islrn.org/resources/907-588-147-641-6 removed
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 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.110 | 0.048 |
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".