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Record W6963055513 · doi:10.17632/gcnrt8rb29

Fietz et al., 2021 - OA Dataset

2021· dataset· en· W6963055513 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMendeley Data · 2021
Typedataset
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsSieve (category theory)Intertidal zoneSedimentologyMacrobenthosPopulationSortingGranulometrySedimentary rockDiversity index

Abstract

fetched live from OpenAlex

Dataset that was collected for publication in S.W. Fietz, M.K. Gingras, J.A. MacEachern, L. Rinke-Hardekopf, and S.E. Dashtgard, 2021. Sedimentology and neoichnology of a muddy translating point bar in the fluvio-tidal transition, Serpentine River, BC, Canada. Sedimentary Geology Dataset comprises 1) Coordinates of 13 boxcores and 15 grab samples at the studied translating point bar are listed. The positions of the boxcores in the lower, middle and upper intertidal zone are indicated. Grab samples were collected from the subtidal zone of the bar. The approximate vertical position of each sample station is given relative to NAD83(CSRS) 4.0.0.BC.1.GVRD 2005-04-05 (horizontal datum). 2) Raw data of grain size analyses are part of this dataset. Grain size analyses were conducted on 2-3 samples per boxcore and each grab sample. Samples were analyzed using a Malvern Mastersizer Hydro 2000 with a fluid accessory. Results are given in µm. Treatment of samples prior to processing them for grain size analysis is described by Czarnecki et al., (2014). Sieve data are given in mm. 3) Total organic carbon content (wt%) was measured for 2-3 samples per boxcore and each grab sample, using the Loss-on-Ignition method described by Heiri et al., (2001). 4) Size-diversity index (SDI) calculations were conducted following the method described by Hauck et al., (2009). SDI is a value derived by multiplying the largest burrow diameter with the diversity of traces observed. 5) Macrobenthos population counts were conducted for each station in the intertidal zone. Genus and species as well as their abundances at each station are made available. 6) Salinity (‰) was measured with a digital refractometer at the landward side of the bar and the seaward side of the bar. Date, time and coordinates of the salinity measurement locations are documented. References: Czarnecki, J.M., Dashtgard, S.E., Pospelova, V., Mathewes, R.W., MacEachern, J.A., 2014. Palynology and geochemistry of channel-margin sediments across the tidal-fluvial transition, lower Fraser River, Canada: Implications for the rock record. Marine and Petroleum Geology 51, 152–166. Hauck, T.E., Dashtgard, S.E., Pemberton, S.G., Gingras, M.K., 2009. Brackish-water ichnological trends in a microtidal barrier island-embayment system, Kouchibouguac National Park, New Brunswick, Canada. Palaios 24, 478–496. Heiri, O., Lotter, A., Lemcke, G., 2001. Loss on ignition as a method for estimating organic and carbonate content in sediments: Reproducibility and comparability of results. Journal of Paleolimnology 25, 101–110.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0040.014
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.004

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.

Opus teacher head0.037
GPT teacher head0.286
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it