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Record W1537467089

Variations on Three Bodies of Knowledge

2003· article· en· W1537467089 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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational fiction review · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsAgathaMeaning (existential)EncyclopediaSet (abstract data type)Computer scienceGestureProcess (computing)Body of knowledgeEpistemologySociology of scientific knowledgePsychologyCognitive scienceArtificial intelligenceHistoryPhilosophyArt history
DOInot available

Abstract

fetched live from OpenAlex

A notable aspect of the problem-solving process--the primary task of the literary detective--is the continuous interplay between existing knowledge and knowledge directly related to the case in hand. This article focuses on describing and comparing the investigative approaches of arguably the three most famous literary detectives of the first half of the twentieth century, created respectively by Arthur Conan Doyle, Agatha Christie, and Georges Simenon, namely, Sherlock Holmes, Hercule Poirot, and Inspector Maigret, with reference to three bodies of knowledge: a body of knowledge existing prior to the investigation, knowledge of the investigative methodology to be used, and case-specific knowledge, gained in the course of the investigation. Knowledge that the investigator has prior to the investigation includes specialized factual knowledge and/or knowledge gained through previous experience. By drawing on a reservoir of specialized technical knowledge, the investigator is able to identify and interpret concrete data of which the meaning and significance escape his rivals. At the same time, or alternatively, the investigator has a mental catalogue, derived from previous investigations, containing information on crimes, criminal types, patterns of behavior and so on. Confronted with a set of events for which he has to find a rational explanation, the detective could use this body of knowledge as basis for a kind of encyclopedia, in which phenomena are grouped, annotated, and contextualized, and for a dictionary which enables him to interpret certain gestures and other observable phenomena; (1) or, through analogical thinking, to anticipate or interpret certain actions or events; to typify a suspect or clarify the profile of the victim; or to open up a line of investigation based on a technical understanding of particular data. In this respect, the investigator resembles a scientist who, upon observing a set of unexplained phenomena, first of all tries to explain it in terms of knowledge already at his disposal. The scientist works from the observed phenomena to its possible causes. If he succeeds in finding a readily explanation that adequately accounts for these phenomena, further investigation becomes superfluous. Only if such an explanation cannot be found, or if a readily explanation is found inadequate, do the phenomena become a problem worthy of further investigation. The search for a solution to the problem is continued by advancing conjectures that the investigator attempts to refute in view of the data, until a solution is found that can stand up to critical scrutiny. In the process of looking for a satisfactory explanation, the investigator makes use both of a first body of knowledge concerning phenomena similar to those constituting the problem (2) and a second body of knowledge related to the methodology accepted in the discipline concerned. (3) The detective usually cannot simply apply existing explanations to the case in hand in order to arrive at a solution, inasmuch as each case presents a new problem, involving different persons and events. Yet, knowledge gained from previous cases could facilitate the identification of clues and assist the detective in finding the correct lines of investigation, especially where problems are generically related. The nature of the problem remains basically constant, in that it always involves identifying the perpetrator of a crime, so that the investigative method of a particular detective does not change significantly from case to case. The scientific process is largely conventionalized; it starts with the unambiguous formulation of a problem that can be solved with the available methods of scientific inquiry, moves through the formulation and testing of one or more possible solutions, and culminates in the presentation of a solution that can be confirmed at least provisionally. (4) Similarly, the methodology to be used by the detective usually follows a basic pattern: once the basic facts of the problem are known, the detective systematically interviews and interrogates those involved, searches for and follows leads, regularly reviews the case up to that point, and puts forward hypotheses for the solution. …

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.067
GPT teacher head0.391
Teacher spread0.324 · 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