metadata

tags:
  - setfit
  - sentence-transformers
  - text-classification
  - generated_from_setfit_trainer
widget:
  - text: >-
      TITLE: The Impact of the Mariel Boatlift on the Miami Labor Market

      ABSTRACT: Using data from the Current Population Survey, this paper
      describes the effect of the Mariel Boatlift of 1980 on the Miami labor
      market. The Mariel immigrants increased the Miami labor force by 7%, and
      the percentage increase in labor supply to less-skilled occupations and
      industries was even greater because most of the immigrants were relatively
      unskilled. Nevertheless, the Mariel influx appears to have had virtually
      no effect on the wages or unemployment rates of less-skilled workers, even
      among Cubans who had immigrated earlier. The author suggests that the
      ability of Miami's labor market to rapidly absorb the Mariel immigrants
      was largely owing to its adjustment to other large waves of immigrants in
      the two decades before the Mariel Boatlift.
  - text: >-
      TITLE: The Regularisation of Unauthorized Migrants: Literature Survey and
      Country Case Studies

      ABSTRACT: Regularisation programmes have emerged in the past 25 years or
      so as one of the mechanisms States use to account for and manage the
      undocumented immigrant population in their countries, and are usually
      implemented in concert with the internal and external strengthening of
      migration controls. This paper attempts to answer the questions arising
      from such programmes through a survey of nine regularisation programmes in
      the United States and the European Union. The first part of the survey
      offers a broad introduction to, overview and analysis of regularisation
      programmes through a review of available literature on the topic. The
      second part of the survey is an in-depth analysis of regularisation
      programmes in nine countries, and provides for each country a brief
      overview of their current migration policy, legal channels of immigration
      into the country, and the undocumented population in relation to the
      country's demographic profile. In order to provide a complete picture of
      each programme, throughout the survey an attempt has been made to draw on
      government, non-governmental and academic sources.
  - text: >-
      TITLE: When the Feds Hand You a “Light Envelope”: Exploring the Impact of
      the Federal Budget Sequester on the Build America Bond Program

      ABSTRACT: In 2009, the US federal government created the Build America
      Bond (BAB) program to improve access to the capital markets for state and
      local governments. While the federal government typically subsidizes
      subnational capital financing indirectly through tax exemption, the BAB
      program provided direct cash subsidies to governments. The Budget Control
      Act of 2011 implemented a sequester that reduced BAB subsidies by 5.7 to
      8.7% each year since 2013. This paper estimates previous and potential
      future sequestration losses on all outstanding BABs as of the end of 2022.
      It delves into BAB use and sequestration by two issuers (governments in
      the state of Texas and City of Chicago). The paper concludes with a
      discussion of the current state of BABs as it relates to recent litigation
      and refinancing attempts. The loss estimates provide lessons for the
      provision and management of federal direct subsidies available to state
      and local governments.
  - text: >-
      TITLE: Does Personal Contact With Ethnic Minorities Affect Anti-Immigrant
      Sentiments? Evidence From a Field Experiment

      ABSTRACT: This article explores the causal effect of personal contact with
      ethnic minorities on majority members' views on immigration, immigrants'
      work ethics, and support for lower social assistance benefits to
      immigrants than to natives. Exogenous variation in personal contact is
      obtained by randomising soldiers into different rooms during the basic
      training period for conscripts in the Norwegian Army's North Brigade.
      Based on contact theory of majority--minority relations, the study spells
      out why the army can be regarded as an ideal contextual setting for
      exposure to reduce negative views on minorities. The study finds a
      substantive effect of contact on views on immigrants' work ethics, but
      small and insignificant effects on support for welfare dualism, as well as
      on views on whether immigration makes Norway a better place in which to
      live.
  - text: >-
      TITLE: The Contributions of Immigrants to American Culture

      ABSTRACT: The standard account of American immigration focuses on the
      acculturation and assimilation of immigrants and their children to
      American society. This analysis typically ignores the significant
      contributions of immigrants to the creation of American culture through
      the performing arts, sciences, and other cultural pursuits. Immigrants and
      their children are not born with more creative talents than native-born
      citizens, but their selectivity and marginality may have pushed and pulled
      those with ability into high-risk career paths that reward creative work.
      The presence of large numbers of talented immigrants in Hollywood,
      academia, and the high-tech industries has pushed American institutions to
      be more meritocratic and open to innovation than they would be otherwise.
metrics:
  - accuracy
  - precision
  - recall
  - f1
pipeline_tag: text-classification
library_name: setfit
inference: true
base_model: sentence-transformers/paraphrase-MiniLM-L3-v2
model-index:
  - name: SetFit with sentence-transformers/paraphrase-MiniLM-L3-v2
    results:
      - task:
          type: text-classification
          name: Text Classification
        dataset:
          name: Unknown
          type: unknown
          split: test
        metrics:
          - type: accuracy
            value: 0.98125
            name: Accuracy
          - type: precision
            value: 0.9933774834437086
            name: Precision
          - type: recall
            value: 0.9868421052631579
            name: Recall
          - type: f1
            value: 0.9900990099009901
            name: F1
license: apache-2.0
language:
  - en

paraphrase-MiniLM-L3-v2_immig

This SetFit model was trained on 48 title-abstracts samples (24 per class) to differeniate between published studies related to immigration/migration research and those that are not.

Model Type: SetFit
Sentence Transformer body: sentence-transformers/paraphrase-MiniLM-L3-v2
Classification head: a LogisticRegression instance
Train data/script repository: SetFit on GitHub

Evaluation

Metrics

Label	Accuracy	Precision	Recall	F1
all	0.9812	0.9934	0.9868	0.9901

Uses

Direct Use for Inference

First install the SetFit library:

pip install setfit

Then you can load this model and run inference.

from setfit import SetFitModel

model = SetFitModel.from_pretrained("mmarbach/paraphrase-MiniLM-L3-v2_immig")
preds = model("TITLE: ...  ABSTRACT: ....")

Training Details

Training Set Metrics

Training set	Min	Median	Max
Word count	97	155.6458	262

Label	Training Sample Count
immigration_topic	24
other_topic	24

Training Hyperparameters

batch_size: (16, 16)
num_epochs: (4, 4)
max_steps: -1
sampling_strategy: oversampling
body_learning_rate: (2e-05, 1e-05)
head_learning_rate: 0.01
loss: CosineSimilarityLoss
distance_metric: cosine_distance
margin: 0.25
end_to_end: False
use_amp: False
warmup_proportion: 0.1
l2_weight: 0.01
seed: 42
eval_max_steps: -1
load_best_model_at_end: False

Training Results

Epoch	Step	Training Loss	Validation Loss
0.0133	1	0.288	-
0.6667	50	0.1935	-
1.0	75	-	0.0980
1.3333	100	0.0472	-
2.0	150	0.0118	0.0767
2.6667	200	0.0057	-
3.0	225	-	0.0719
3.3333	250	0.0047	-
4.0	300	0.0039	0.0718

Framework Versions

Python: 3.12.11
SetFit: 1.1.2
Sentence Transformers: 5.0.0
Transformers: 4.53.0
PyTorch: 2.7.1
Datasets: 3.6.0
Tokenizers: 0.21.2