Johan Vilhelm Snellman’s–Finnish Philosopher, Writer, Diplomat–Statement “Science Centers for All”
Bibliographic record
Abstract
“Go to temples of science and ideas of Europe. Imitate the Tugendbund, ‘the Union of Virtue’, of which thousands of German youth are the members. Always keep the rule of ‘Fit soul is in fit body’ in mind” (Petrov, 2013, p. 72). This study aimed to show the similarities, in terms of expression, emphasis, and implication, in the about/mission/vision/goals/objectives of various science centers from around the world and in the basic themes derived from Snellman’s statement above, namely, Science for all, Science Centers for all, and Human welfare that he made as a challenge to not only his people but to everyone. Document and content analyses were applied in the study. Within the scope of these analyses, this study investigated the about/mission/vision/goals/objectives sections of websites of science centers from around the world (Asia, Europe, Global, Latin America/The Caribbean, North America, Africa). From this investigation, similar basic themes, derived from Snellman’s statement challenging his people/everyone to adopt this devotion to science, were found in the areas of i) expression in ASTC, CIMUSET/CSTM, CASC and SAASTEC; ii) emphasis in ECSITE, ASDC, ASCN and NSCF; and iii) implication in ASPAC, ASTEN, NCSM, ABCMC and Red-POP. These basic themes, as found in the about/mission/vision/goals/objectives of science centers, can, in effect, be narrowed down to the one theme of “cultural institutions will be a big part of human life” (Madsen 2017, p. 68) science centers in the global village (Touraine, 2016, p. 121) of the future.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".