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Record W4200080833 · doi:10.35542/osf.io/fmgv8

A Short History of Grading Practices at Dalhousie University (1901-2021)

2021· preprint· en· W4200080833 on OpenAlexaffabout
Sean P. Mackinnon, Shazia Kashif

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicStudent Assessment and Feedback
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGrading (engineering)Grading scaleValue (mathematics)Point (geometry)PsychologyMathematics educationStatisticsMathematicsMedicineEngineering

Abstract

fetched live from OpenAlex

Grading practices at Dalhousie University have changed considerably over the past 120 years. From 1901 until the early 1970s, Dalhousie used a variant of the British system. Initially, a grade of 65% or higher was required for distinction. In 1937, Dalhousie moved to a 2-category system (Distinction vs. Ordinary Pass) and in 1942 the distinction grade cutoff was lowered to 60%. By the late 1940s, “Second Division” was subdivided into Seconds and Thirds, and First Division required an 80% or higher. By the late 1960s, there were conversions between American letter grades (A, B, C, D), divisions, and percentage grades. Moreover, a 4pt “merit point” system served as a prototype to Grade Point Averages (GPA). Experimental teaching and grading practices were explored in the 1970s. Officially, percentage grades were abolished and replaced with an 11-point letter grade scale from A+ to F. Unofficially, most professors and departments used idiosyncratic percentage-to-letter conversion schemes, though they were eventually standardized within (but not across) departments. In the 1990s, the 4.3 GPA system was standardized university-wide largely because it was thought to give students a competitive advantage for federal scholarships. In the 2010s, Dalhousie standardized percentage conversion schemes across all departments into one unified Common Grade Scale, partially due to GPA requirements for scholarships and graduate schools but also in response to student complaints about inconsistency. Overall, most grading changes in the past 120 years were implemented for the external communication value of grades rather than for their pedagogical value.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0100.010
Science and technology studies0.0030.001
Scholarly communication0.0060.003
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0670.042

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 head0.085
GPT teacher head0.345
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
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

Citations1
Published2021
Admission routes2
Has abstractyes

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