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Record W1506808960 · doi:10.47925/2006.295

Trust and Suspicion in Critical Thinking as Transcendence

2006· article· en· W1506808960 on OpenAlexaff
Christina Hendricks

Bibliographic record

VenuePhilosophy of education · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTranscendence (philosophy)DistancingEpistemologyCommitPsychologyOrder (exchange)Process (computing)NegotiationCritical thinkingSocial psychologySociologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

Critical thinking is often described by philosophers of education as a process of transcendence: a way to take one's beliefs, values, and actions as objects of thought, and to reflect on them for the sake of evaluation and possible transformation.John Dewey argues, for example, that "the essence of critical thinking is suspended judgment"; it involves a pause that allows us to stand back to reflect, to "metaphorically climb a tree[to get] a more commanding view of the situation." 1 This process calls for a difficult balancing act between commitment and suspicion.Effective transcendence requires recognition of one's fallibility, a degree of suspicion regarding one's views and methods of thinking as a motivation for distancing oneself from these in order to evaluate them.Yet distancing must not be taken too far -one must trust in and remain committed to certain beliefs and methods as criteria for judgment in order to ground the evaluation made possible by stepping back to reflect.Critical thinkers must recognize their own fallibility without being paralyzed by it, and must commit to evaluative criteria without losing the suspicion that motivates reflection and revision.Teachers who work to promote critical thinking as transcendence must find a way to negotiate this balance, avoiding too much emphasis on either extreme.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.244

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.038
GPT teacher head0.376
Teacher spread0.338 · 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 designTheoretical or conceptual
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

Citations2
Published2006
Admission routes1
Has abstractyes

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