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Record W2342855763 · doi:10.14288/1.0054008

The experience of attaining respect in the face of differences

2009· article· en· W2342855763 on OpenAlexaff
Heather M.G. Best

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Politics and Security
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFace (sociological concept)AestheticsSociologyPhilosophySocial science

Abstract

fetched live from OpenAlex

This study to examines the experience of attaining respect in the face of differences through the eyes of eight North American Caucasian members of the helping professions. A hermeneutic- phenomenological, multiple case study design using an interview guide approach was the methodology chosen to describe the co-researchers' experience of respect — what it is, and how to attain respect when it is lost. During audio-taped interviews, the coresearchers related stories of times when they had to struggle to be respectful. After relating the stories they were asked for their thoughts on the meaning of respect. The analysis revealed a six step non-linear process of becoming respectful. The themes involved in the process are the trigger event, the reaction, stopping the reaction, shift in focus to examine one's self, acceptance of self, looking again at the other, acceptance of the other and the outcome behaviour. Intrinsically involved in the process were concepts of identity, self respect, boundaries, context, and expectations. These themes were simultaneously foundational and integral to the process themes. The study compares the philosophical definitions of respect, Rogers' concept of unconditional positive regard the co-researchers' conceptions of respect and their lived experience finding a core consensus.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.022
GPT teacher head0.237
Teacher spread0.215 · 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 designObservational
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
Published2009
Admission routes1
Has abstractyes

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