MétaCan
Menu
Back to cohort
Record W4294577556 · doi:10.1007/978-3-031-13231-5_3

The Immigrant Sensemaker

2022· book-chapter· en· W4294577556 on OpenAlexaff
Luciara Nardon, Amrita Hari

Bibliographic record

VenueInternational Marketing and Management Research · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsCarleton University
Fundersnot available
KeywordsSensemakingIdentity (music)NarrativeContext (archaeology)ImmigrationWork (physics)Process (computing)Power (physics)SociologyPsychologyPolitical sciencePublic relationsEngineeringComputer scienceGeographyAesthetics

Abstract

fetched live from OpenAlex

Abstract Sensemaking starts with the sensemaker; the process of identity work is thus central to immigrant integration. In this chapter, we discuss individual level sensemaking to understand how qualified immigrants (QIs) facing similar work integration challenges, with comparable education and work experiences, can have widely different career trajectories and outcomes. We integrate narratives from QIs to explore identity processes involved in sensemaking and argue that identity work is a social process that is continuously in flux; it is dependent on context and imbued with power discrepancies.

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)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.937
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.068
GPT teacher head0.390
Teacher spread0.322 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Marketing and Management ResearchSame topicInternational Student and Expatriate ChallengesFrench-language works237,207