---
datasets:
- Quay1k/Social-Emotional-Learning
- kevinwon32/NONPROFIT
- FBK-MT/gender-bias-PE
- joey234/mmlu-human_sexuality
language:
- en
- es
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** BCNY SEE
- **Model type:** Research



## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
Create staff presentations educating them on the BCNY journey.

### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

Topics covered include: social capital, developmental assets, and youth development outcomes for boys


### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->

Organizations and leaders that fail to partner with participants, members, beneficiaries through dialogue.


## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

The model will mostly be limited to content focused on:
•	Race Equity
•	Gender Equity
•	Economic Equity
•	Freedom
•	Resistance, Perserverance (resisting what we don’t want and have better idea) and
•	Justice


### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

## How to Get Started with the Model

Use the code below to get started with the model.

SEE

## Training Details

### Training Data

<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

https://bcny-my.sharepoint.com/:x:/g/personal/prospero_herrera_bcny_org/EfirXEvoKOtBh_HkAnyu9OIButRwQSyxuBOo8qMPmlMWQg



#### Summary

## Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

### Model Architecture and Objective

Ensure staff presentations account for inclusion of topics on equity, gender, and sexuality.