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Record W2073966774 · doi:10.1108/20426781111146754

Does order matter? An empirical analysis of NHL draft decisions

2011· article· en· W2073966774 on OpenAlex
Peter Tingling, Kamal Masri, Matthew T. Martell

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSport Business and Management An International Journal · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsKwantlen Polytechnic UniversitySimon Fraser University
Fundersnot available
KeywordsLeagueContext (archaeology)AmateurDecision qualityOrder (exchange)Quality (philosophy)Test (biology)PsychologyMarketingOperations researchComputer scienceActuarial scienceEconomicsBusinessEngineeringPolitical science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine the effect of order on the quality of outcomes when making sequential decisions and test the widely‐held belief that choosing earlier is preferable and results in better outcomes than choosing later. Design/methodology/approach Quantitative performance from the sequence of athletic decisions made by the teams of the National Hockey League (NHL) at the annual amateur entry draft is longitudinally analyzed using a participation threshold of 160 games. Findings Analysis indicates that earlier choice does result in outcomes that are significantly and substantially better but that this effect is muted beyond approximately the first 100 decisions, after which there is no discernable advantage. Research limitations/implications The dichotomous performance measure excludes more qualitative or stratified assessments of performance and does not include context of the individual decision choices. The results may not generalize beyond the National Hockey League or other human resource situations. Practical implications The research suggests that sequential decision processes are suboptimal in the presence of large amounts of information and choice. Recommendations include reallocating the amount of confirmatory attention spent on highly‐ranked candidates. Originality/value The paper exposes limitations to the widely‐held belief that choosing earlier is preferable to choosing later.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.049
GPT teacher head0.281
Teacher spread0.232 · 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