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Record W2112061515 · doi:10.1177/2332649215569074

Institutionalizing Liminality

2015· article· en· W2112061515 on OpenAlexaff
Joshua Harold

Bibliographic record

VenueSociology of Race and Ethnicity · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicJewish Identity and Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLiminalityEthnic groupContext (archaeology)Social psychologySociologyIdentity (music)Organizational identityCognitionPsychologyGender studiesAestheticsAnthropologyOrganizational commitmentGeography

Abstract

fetched live from OpenAlex

This article examines ethnic boundary formation by analyzing how former participants in a liminal organization mobilize organizational schemas of identity and practice. I envisage Jewish summer camps as liminal organizations that provide an undifferentiated setup for immersive ethnic engagement within a clearly defined temporal period. I posit that the liminality of camp helps participants overlook the complexities of identity by transmitting organizational schemas without the constraint of structural pressures. I argue the concept of liminality makes visible structural pressures that stimulate deliberate cognition over organizational schemas. Using qualitative interviews with former camp participants, this article attends to the cognitive boundary work that underlies organizational participation. It contributes to understandings of how identity practices are shaped by institutional discourses and extends ethnic boundary theory to include liminal organizational types. I show that the structure of camp activities organizes liminality into three predominant schemas. I then show how, in the context of structural shifting, campers mobilize these schemas as salient ethnic boundaries. The results demonstrate that structural pressures encourage deliberate cognition over organizational schemas, thereby complicating projects of boundary work that structure groupness.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.019
Scholarly communication0.0040.004
Open science0.0010.008
Research integrity0.0010.001
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 head0.117
GPT teacher head0.381
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations3
Published2015
Admission routes1
Has abstractyes

Explore more

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