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Record W7057109068

Human trafficking and migration: Interview with Jacquelyn Meshelemiah

2019· other· en· W7057109068 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório Institucional do ISCTE-IUL (ISCTE-IUL) · 2019
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorWork (physics)Social workHuman traffickingState (computer science)Social assistanceSocial change
DOInot available

Abstract

fetched live from OpenAlex

Dr. Jacquelyn C.A. Meshelemiah is a Licensed Social Worker (LSW). She earned her Bachelor of Science in Social Work (BSSW), Master of Social Work (MSW), and Doctorate (PhD) from the College of Social Work, of The Ohio State University, USA. Dr. Meshelemiah has taught numerous courses across the curricula, but now exclusively teaches Assessment & Diagnosis in Clinical Social Work Practice, as well as Human Trafficking. She is the author and co-author of numerous publications, such as “Human sex trafficking” and, her latest, “Human rights perspectives in social work education and practice”. Has also done a series of presentations and trainings at the university, local, national, and international levels. Her primary research agenda centres on social justice, human rights, and anti-trafficking work. She has a crosscomparative analysis of human trafficking in Ghana, Uganda, Ethiopia, England, Mexico, Canada, Costa Rica, and the United States.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.148
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0850.001

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 head0.013
GPT teacher head0.256
Teacher spread0.243 · 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
Published2019
Admission routes1
Has abstractyes

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