OSTAVŠTINA EVERTA HOEKA U MEHANICI STIJENA I INŽENJERSTVU STIJENA
Bibliographic record
Abstract
Doprinos dr. Hoeka mehanici stijena i inženjerstvu stijena učinio ga je jednim od najpriznatijih inženjera u tim područjima. Diplomirao je strojarstvo na Cape Town sveučilištu s diplomom prvostupnika 1955. i magisterijem 1957. Godine 1958. preselio se u Pretoriju, gdje je radio kao istraživački inženjer u CSIR-u (Council for Scientific and Industrial Research). Godine 1966. preselio se u London, gdje je imenovan docentom, a potom i redovitim profesorom na Imperial Collegeu. Tijekom boravka u Londonu objavio je dvije klasične knjige o inženjerstvu stijena, „Rock slope engineering“ s Johnom Brayem i „Underground excavations in rock“ s njegovim nasljednikom na Imperialu Tedom Brownom. Godine 1975. dr. Hoek je napustio U.K. i zaposlio se u Golder Associates u Vancouveru u Kanadi. Godine 1987. pridružio se Sveučilištu u Torontu kao profesor industrijskih istraživanja kada u koautorstvu s P.K. Kaiserom i W.F. Bawdenom objavljuju knjigu „Support of Underground Excavations in Hard Rock“. Dr. Hoek se vratio u Vancouver 1993. i pokrenuo vlastiti konzultantski posao. Vjerojatno je najpoznatiji po ulozi u razvoju Hoek-Brownovog kriterija loma. Umirovio se 2018. Preminuo je 6. srpnja 2024. nakon kratke bolesti u svom domu u Vancouveru.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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; both teacher heads agree on what is shown here.
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".