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Record W2112239906 · doi:10.2166/ws.2007.003

The hydrologic cycle: a complex history with continuing pedagogical implications

2007· article· en· W2112239906 on OpenAlexaff
S.M. Karterakis, Bryan Karney, Bhawan Singh, Aziz Guergachi

Bibliographic record

VenueWater Science & Technology Water Supply · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSocioeconomics of Resources and Conservation
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsScope (computer science)Water cycleEpistemologyFocus (optics)Order (exchange)SociologyHistoryEngineering ethicsEarth scienceComputer scienceGeologyEngineeringEcologyPhilosophy

Abstract

fetched live from OpenAlex

Historical papers relating to water often focus on a physical structure or archaeological artefact that is being investigated in order to achieve insight into the life, times or understanding of a historical culture or people. In this sense, the current paper is an anomaly in that the “artefact” motivating this historical review of the hydrological cycle was observed first in the classroom. More specifically, many years of teaching hydrology has highlighted the difficulty students often have in achieving a broad and deep understanding of hydrological processes. Several reasons could be proposed for the observed pedagogical difficulties, but what is of interest here is that a student's struggles are reminiscent of the historical ones relating to first deducing the hydrological cycle. Thus, a novel hypothesis is tentatively advanced: concepts that were tortuous or taxing to deduce historically often, and for quite similar reasons, are challenging to teach, and vice versa. While a comprehensive psychological exploration of this observation is beyond the scope of this article, a few broader connections are briefly explored.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.827
Threshold uncertainty score0.768

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.240
Teacher spread0.196 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2007
Admission routes1
Has abstractyes

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