Bibliographic record
Abstract
This Sask_Glacier_Dynamics-data.zip file was generated on 2022-April_20 by N Stevens GENERAL INFORMATION 1. Title of Dataset: Sask_Glacier_Dynamics.zip 2. Author Information A. Principal Investigator Contact Information Name: Lucas Zoet Institution: University of Wisconsin - Madison Address: 1215 W. Dayton Street Email: lzoet@wisc.edu B. Corresponding Investigator Contact Information Name: Nathan Stevens Institution: University of Wisconsin - Madison Address: 1215 W. Dayton Street Email: ntstevens@wisc.edu 3. Date of data collection: 1948 to 2019-08 4. Geographic location of data collection: Saskatchewan Glacier, Banff National Park of Canada, Alberta, Canada Madison, Wisconsin All data processing was conducted at the University of Wisconsin - Madison 5. Information about funding sources that supported the collection of the data: N.T.S. was funded by PR-1738913, the Weeks Graduate Fellowship, Department of Geosciences, University of Wisconsin - Madison. N.T.S., C.J.R., D.D.H., and L.K.Z. were funded in part by start-up funds from the Department of Geosciences at the University of Wisconsin - Madison and the Wisconsin Alumni Research Foundation (WARF). R.B.A. and E.S. were funded in part by the Evan Pugh Research Endowment from the Pennsylvania State University. SHARING/ACCESS INFORMATION 1. License/restrictions placed on the data: Citation of paper 2. Links to publications that cite or use the data: None 3. Recommended citation for this dataset: Title: N.T. Stevens, C.J. Roland, L.K. Zoet, R.B. Alley, D.D. Hansen, E. Schwans (2022) Multi-decadal basal slip enhancement at Saskatchewan Glacier, Canadian Rocky Mountains, Journal of Glaciology Authors: N.T. Stevens C.J. Roland L.K. Zoet D.D. Hansen R.B. Alley E. Schwans DATA & FILE OVERVIEW 1. File List: Folders: BOREHOLE - digitized data from the borehole deformation survey in Meier (1957) at Saskatchewan Glacier in .csv format GIS - Geographic Information Systems files ==> GeoRef - GeoTIFF outputs from georeferencing maps from Meier (1957) in *.tif format ==> Moulins - Handheld GPS observations of moulin locations during August 2019 survey in *.txt format ==> Shapefiles - Assorted ESRI shapefiles ==> Meier1957_Extracted - ShapeFiles containing georeferenced point data for survey sites from Meier (1957) ==> Modern_Extracted - ShapeFiles for transect lines used in Stevens and others (2022) ==> Transects - Extracted data along transects from Tennant & Menounos (2013, TM13), Meier (1957, M57), Danielson & Geisch (2011, DG11), and Stevens and others (2022, SGGS) in *.csv format. GPS ==> CUBE - contains DataCube GPS positioin data from the August 2017 survey ==> Meta - Metadata associated with GNSS post processing from the August 2019 survey ==> continuous - contains manually classified data gaps used to create the "stitched" ice-surface displacement record in Stevens and others (2022) in *.txt format ==> postprocessing - contains the RTKLIB postprocessing configuration file and command-line calls for GNSS data from August 2019 ==> POST_PROCESSED - contains post-processed GNSS data from August 2019 ==> campaign - *.csv files for position solutions of GNSS point measurements following post-processing ==> continuous - *.pos (CSV-compliant) file for position solutions of continuous GNSS measurements following post-processing ==> RAW - raw GNSS observations from August 2019 in native formats exported from Emlid antennae ==> BASE - data from GNSS antenna used as the reference station and a python script (*.py) used to estimate the base-station reference location ==> ROVER1 - data from GNSS antenna labeled unit #1 ==> ROVER2 - data from GNSS antenna labeled unit #2 ==> README.md - text file explaining changes in naming convention between acquisition and presentation in Stevens and others (2022) MELT - contains local meteorologic observations and ice-surface ablation measurements ==> LOWER - contains digitized notes on ice-surface ablation in *.csv format from August 2019 ==> WXSG - contains observational data from the automated weather station deployed at Saskatchewan Glacier during August 2019 in *.csv format SEISMIC - contains active-source and passive-source seismic data from August 2017 and 2019 surveys ==> Active - contains median stacked common shotpoint gathers in MiniSEED format and phase arrival time picks in text-format compatable with the Pyrocko Project Snuffler (pyrocko.org) ==> Meta - contains post-processed GNSS surveys of station locations (site.csv) ==> Passive - contains rotated & downsampled passive seismic data and OpenHVSR project used in ice-thickness estimation in Stevens and others (2022) ==> ASCII - contains waveform data in *.txt format compatable with OpenHVSR (Bignardi and others, 2016; 2018) ==> OpenHVSR - contains OpenHVSR projects for the 2017 (OpenHVSR_SS1_proj_100Hz.m) and 2019 (OpenHVSR_proj.m) seismic surveys defined by matlab (*.m) scripts ==> Elaboratioin - elaboration files containing the HV analysis of 2019 survey data ==> SaskSeis_Array - elaboration files containing the HV analysis of 2017 survey data METHODOLOGICAL INFORMATION: For methodological information see N.T. Stevens, C.J. Roland, L.K. Zoet, R.B. Alley, D.D. Hansen, E. Schwans (2022) Multi-decadal basal slip enhancement at Saskatchewan Glacier, Canadian Rocky Mountains, Journal of Glaciology
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.067 | 0.075 |
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".