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Record W2765828543

Plan and Situated Action Relationship as a Function of Activity Category: An Experimental Approach - eScholarship

2011· article· en· W2765828543 on OpenAlexaboutno aff
Walid Bahamdan, Rob Duimering

Bibliographic record

VenueProceedings of the Annual Meeting of the Cognitive Science Society · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedCategorizationAction (physics)AmbiguityPlan (archaeology)Function (biology)Categorical variableSet (abstract data type)EpistemologyField (mathematics)Argument (complex analysis)SociologyGeographyComputer scienceMathematicsArtificial intelligenceArchaeologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Plan and Situated Action Relationship as a Function of Activity Category: An Experimental Approach Walid Bahamdan Department of Management Sciences, 200 University Avenue West Waterloo, Ontario, N2L 3G1, CANADA Rob Duimering Department of Management Sciences, 200 University Avenue West Waterloo, Ontario, N2L 3G1, CANADA Abstract: Plan and situated action relationship has been an active area of debate in recent years in various fields of study yet such relationship has a propensity for ambiguity. It would be a limited/desperate argument to claim that plans can capture every level of detail. Needless to say, a model cannot exceed or equal reality. Given that a clear mismatch/incongruence or gap exists between plans and actual events, how do people experience this gap and how do they act accordingly? The proposed framework integrates the field theory of the here-and-now action developed by Kurt Lewin (1936), with both the prototype and basic-level category theories developed primarily by Rosch (1978). Lewin’s theory captures the dynamic properties of situations whereas Rosch’s categorization theories capture typifications of the human experience. More specifically, plans are conceived as an activity category-set of possibilities of some future events by which plans have categorical relationships with future actions.

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)0.007
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.002
Open science0.0010.001
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 head0.238
GPT teacher head0.380
Teacher spread0.141 · 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 designBench or experimental
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

Citations0
Published2011
Admission routes1
Has abstractyes

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