All in a Hard Day's Hydrogeology Field Work
Bibliographic record
Abstract
Hands on experience with some instrumentation in a hydrogeology course taught at Indiana University Purdue University Fort Wayne (IPFW) was demonstrated over an 8-hour out-door lab. Eagle Marsh, Allen County, Indiana, which is within an hour’s drive of the IPFW campus, was selected as the field site. The aims of the field trip were to examine the water chemistry of some ponds within Eagle Marsh and to identify groundwater flow direction using seepage meters, minipiezometers and a well nest. A further objective was to determine if there is any groundwater discharge into the ponds within the marsh. Water samples from the marsh were tested for nitrate, and the pH, temperature, conductivity, total dissolved solid (TDS) and dissolved oxygen (DO) were measured in-situ. A Guelph permeameter was used to determine the hydraulic conductivity of the soils.\nThe water chemistry shows that most of the ponds within the marsh have neutral pH, low conductivity, and low nitrate except for drainage ditch where the nitrate level was 18 ppm, above the 10ppm upper limit for drinking water standard. Seepage measurement and minipiezometers indicate groundwater recharge within the pond, that is, the marsh is losing water. Seepage velocity from seepage meter was 1.177 x 10-3 cm/sec (6.18 m/yr.). The constructed well field was not successful even after three attempts. Analyses of soil samples indicate that the soil is the silty clay type. There is a strong positive correlation (r=0.999) between hydraulic conductivity and TDS as should be expected. Also, DO has a strong negative correlation with temperature (r=-0.939). In-spite of the failure of the permeameter and well nest, the weekend fieldwork demonstrated field techniques to students and how instruments discussed in lecture were used. The failure of equipment or method is also a learning experience of itself.\nSession No. 6\nT29. Undergraduate Research: Multidisciplinary Geologic Systems Monday, 18 April 2016: 8:00 AM-12:00 PM Alma Mater Room (I Hotel and Conference Center) Geological Society of America Abstracts with Programs. Vol. 48, No. 5 doi: 10.1130/abs/2016NC-275423
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.220 | 0.072 |
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".